Transparent Tech Engagement Hub

AI Automation Developer - HR - Remote contract

London

Contract

Full-time

Job ID:

54144

Published date:

03/03/2026

Summary

AI_Automation_Developer_in_HR.docx

AI Automation Developer — Human Resources

Company & Culture

EXANTE is a pioneering wealth tech company that delivers cutting-edge centralised trading solutions and robust B2B financial infrastructure, driving value through innovative technology. Our proprietary trading platform offers seamless access to diverse financial instruments—including stocks, ETFs, bonds, futures, and options—all within a single, multi-currency account.

We are a team that moves fast, solves problems before they escalate, and never settles for 'good enough. At EXANTE, the potential to make a meaningful impact is ever-present. People here grow fast — not because they are told to, but because they have real ownership over the work that matters: processes, products, and how we support each other. If you see something that could work better, you will have the support to improve it.

As a rapidly expanding global firm with over 600 talented employees from 65 nationalities across 70 locations, we are a frontrunner in the financial sector. Our investment priorities are clear: We prioritise investing in our most valuable asset—our people. Join us in shaping the future of finance.

About the Role

If you love designing from scratch, prototyping fast, and watching your code change how people work

— this is your kind of role. You will be the driver of helping us reimagine the entire candidate and

employee journey through AI and automation. From the moment someone applies to EXANTE,

through onboarding, learning, and day-to-day HR operations — you will architect and build the

intelligent workflows that power it all.

What makes this role special:

You will build — not tweak, not configure, but create real automations from the ground up that solve

real problems across the full employee lifecycle. You will experiment — move fast, prototype, test

with real users, learn, and iterate. No waiting for lengthy approval cycles is our promise. You will have

freedom — to spot inefficiencies, propose bold solutions, and shape how AI transforms people's

experience at EXANTE. You will be the go-to automation expert in our HR team — the engineer

everyone turns to when they want to make something smarter, faster, or entirely new. And you will

not be building in isolation — you will join a growing community of AI and Automation Engineers

across EXANTE, swapping ideas, sharing tooling, and pushing each other forward.

Reporting Line: Head of Talent Strategy and Transformation

Contract: Initially project-based, with strong potential to become permanent

Worksite: Remote or office based - this depends on your preferences

Responsibilities

● Design and build AI-driven automations from scratch across the full employee journey:

Recruiting, Onboarding, Learning & Development, and HR Operations. ● Turn rough ideas and pain points into working prototypes fast — think days, not months —

for recruiters, HR partners, and employees. ● Put your solutions in front of real users, gather feedback, and iterate until they work in

practice — not just in theory. ● Ship frequently — aim for at least one validated improvement per week. Small wins

compound into big impact. ● Evaluate what works, what doesn’t, and what’s ready to scale — bring an engineering

mindset to measuring impact. ● Document your work clearly and hand off proven concepts to core engineering teams for

production-grade implementation. ● Scout for automation opportunities others haven’t spotted yet — propose, prototype, and

champion new ideas. You own this space.

Qualifications

● Programming skills in languages such as Python, Java, or C++.

● Understanding of machine learning techniques and frameworks.

● Practical experience building AI or automation solutions (e.g. scripts, bots, workflow

automations, AI-assisted tools).

● Strong problem-solving skills and ability to work with imperfect or evolving requirements.

● Clear communication skills and ability to explain solutions in simple terms.

Your Personality / Mindset

● Integrity & loyalty ● Team player with advanced communication and collaboration skills and willingness to

work closely with non-technical colleagues.

● A hands-on, can-do attitude - always looking for solutions and thinking out of the box

● Overachiever mentality

● The capability to work and succeed in a fast-paced and ever-changing environment

We Offer*

● Competitive salary ● Corporate benefits (choose your preferred options)

● Truly inspiring culture, pleasant and informal work environment

● Ongoing education & training programs

● Opportunity to network and connect at Corporate Events

● Global career opportunities

*Benefits/perks can vary depending on the nature of your employment with the company and the country where you work.

EXANTE was created by a group of disruptive technology experts. With an impressive track record in the industry and market knowledge, our systems are built to democratise access to global financial instruments for professional traders and institutional investors.

Read More Apply Now

Solutions Engineer Associate - London - LegalTech

London

Permanent

Full-time

Job ID:

54217

Published date:

27/02/2026

Summary

AI Solutions Engineer Associate – London (Hybrid) – £45,000–£65,000 + Benefits

An AI-driven LegalTech product company in London is hiring an AI Solutions Engineer Associate to support its expanding solutions engineering function. This is a hybrid role offering £45–65k + benefits, ideal for someone looking to transition from Technical BA / Solutions Analyst into AI consulting and delivery within a profitable, growing business.

This position sits between AI Engineering, Product, and Client Delivery. You will support the AI Solutions Engineering team in delivering AI products to legal sector clients, communicate with both internal technical teams and external stakeholders, assist with solution configuration, testing and deployment, explore and introduce emerging AI tools into the business, and contribute to technical discovery and client workshops.

The ideal candidate will be genuinely passionate about AI and emerging technologies, demonstrate excellent communication and client-facing skills, and be able to code (practical scripting or integration-level coding is sufficient "vibe-coding"). You should be a fast learner with strong curiosity and a natural ability to pick up new tools quickly. Experience within LegalTech or the legal industry is beneficial, as is a background as a Technical BA, Solutions Analyst, or Junior Solutions Engineer.

This is a rare opportunity to join a profitable, scaling AI product company, gain hands-on exposure to emerging AI technologies, and build a clear pathway into a full Solutions Engineer role. The role offers meaningful client exposure, responsibility, and hybrid working in London.

To apply, please send your CV to Nathan Laidlaw at Transparent Tech via the application process. Applications are being reviewed on an ongoing basis.

Keywords: AI Solutions Engineer, Solutions Engineer Associate, Technical Business Analyst, AI Delivery Consultant, LegalTech Jobs London, Hybrid AI Jobs, AI Implementation, Client-Facing Technical Role, Emerging AI Tools, AI Product Delivery, London Tech Jobs

Read More Apply Now

AI Research Engineer - London Hybrid - SaaS Platform

London, UK

Permanent

Full-time

Job ID:

54111

Published date:

23/02/2026

Summary

About Decagon

Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.

Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.

We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.

About the Team

The Research team at Decagon innovates on building the most advanced conversational AI agents for enterprise customers. Decagon’s AI agents understand context, respond with genuine empathy, and solve complex problems with surgical precision.

Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.

About the Role

On the Research team, you’ll be responsible for building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance. You will design and implement state of the art methods for instruction tuning and information retrieval. We're looking for people with strong engineering skills, writing bug-free

machine learning code, and building the science behind the algorithms that power our AI agents.

Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who dives deep into complex system challenges, builds elegant solutions that scale to millions of users, and creates automation that prevents problems before they happen.

In this role, you will

• Develop models for customer support tasks that exceed the performance of closed source models

• Experiment with small open-source models to drive order of magnitude reductions in latency across channels

• Break down ambiguous research ideas into clear, iterative milestones and roadmaps.

Your background looks something like this

• 3+ years of experience in AI/ML engineering or research.

• Proven track record of working on AI/ML projects from concept to production.

• Experience fine-tuning and deploying LLMs in production environments.

• Prior experience working with multi-modal models

Benefits:

• Medical, dental, and vision benefits

• Take what you need vacation policy

• Daily lunches, dinners and snacks in the office to keep you at your best

Read More Apply Now

AWS Platform Engineer - FinTech - London Hybrid

London

Permanent

Full-time

Job ID:

54044

Published date:

17/02/2026

Summary

About the job

About Us

At 118 118 Money we are dedicated to helping Britain achieve financial fitness. In 2023 we relaunched the iconic 118 118 twins which reinforced our commitment to improving the financial fitness of people across the country. Our loans and credit cards are designed for those who are often overlooked by mainstream lenders and we have supported more than 800,000 customers on their journey to better financial wellbeing.

We are building on this mission with the launch of 118M8, our new financial fitness app designed to help people take control of their money with confidence. The app will provide simple tools, helpful guidance and clear support to make financial decisions feel less stressful and more achievable.

Our vision is to champion financial fitness across Britain by offering accessible products, valuable resources and reliable support. We are committed to fair and transparent credit solutions that promote financial wellbeing for all.

With a 4.8 Trustpilot rating we are proud to be seen as an approachable lender that provides clear financial support. If you want to make a real difference to peoples’ lives, this could be the ideal opportunity to join our mission.

What you'll do:

We need an experienced Platform Engineer who can hit the ground running. You will be hardworking, tenacious and up for a challenge! But most importantly, ready to play a critical role in our business.

Key responsibilities and objectives:

To play a leading role in the design, implementation, maintenance and support of AWS infrastructure and services.
You will work with technical, operational and business stakeholders to deliver scalable, secure and resilient infrastructure and applications.
You will take ownership for infrastructure and platform capabilities, seeking to improve efficiency, optimise costs and address technical debt.
You will produce technical documentation, suitable for use in design assurance, incident response and support.
You will work with operational and first line IT support teams to prepare systems for a successful launch.
You will function as a subject matter expert in the:
The development, maintenance and delivery of business continuity and disaster recovery plans.
Analysis of and response to incidents.
You will contribute to the CAB, Design Governance and software change management forums when required.
You will manage stakeholders at all levels of the business.

What you'll need:

Required experience:

5+ years' experience working in the delivery and management of AWS infrastructure and services.
Proven experience in leading the delivery of cloud infrastructure and platforms to support financial service systems and applications.
The production of technical documentation, suitable for use in design assurance, incident response and support.

Desirable experience:

Experience in serverless and containerisation technologies: Lambda, Docker, ECS, Fargate.
Experience in CI/CD and automation technologies: Terraform, GitHub Actions, Serverless Framework.
Experience in DNS configuration, email infrastructure and certificate management
Professional programming experience in Python, TypeScript or C#
Experience in any of the following technologies: Okta, Snowflake, Datadog, PostgreSQL, Glue, Athena, API Gateway, CloudFront.
Experience of Linux and Windows environment administration, including Active Directory, Entra, Windows Server and desktop environments.
Proficiency in data networking, including AWS Transit Gateway, Cisco routing and switching technology.
Experience in delivering industry standard infosec and PCI-DSS compliant environments.

What's in it for you?

A competitive salary
Flexible, hybrid working opportunities.
Company bonus scheme - if the business does well, you should get rewarded for your hard work.
25 days annual leave, (plus bank holidays) increasing to 27 after two years service and 30 after five.
Company pension scheme – we provide an enhanced pension scheme with generous employer contributions to set you up for the future which includes life cover of 4x your base salary.
Eye test – you can claim a freebie each year, or if your needs change.
Employee Assistance Programme - we offer membership to a recognised scheme to support you and your wellbeing.
A strong ethos of equality, diversity, and inclusion.
Wide business exposure, in terms of business disciplines, projects and stakeholders.
Direct contribution to business transformation and growth.
Huge learning and career progression opportunities.
Being valued as an individual from our team.
Full training, support and mentoring to develop a successful career in financial services.

Like what you’ve heard? Great - apply now!

As a candidate, we know the interview process can be daunting and it’s important that you have a great experience with us. We will do all we can to make sure you are fully informed and excited by our story so we get to see the best from you. If you need any adjustments made to help you with the interview process, just let us know by emailing claire.hinson@118118money.com and we’ll do our best to accommodate them.

Following your application, we will want to learn more about you, your motivations, experiences, and values. In turn, you get to learn about our business, our culture, the role and what we can offer you.

If you think you’d be great for the role, but don’t necessarily tick all the boxes, we’d still love to hear from you, so apply today and take the first step towards an excititing future!

Equal Opportunity Employer

At 118 118 Money we are passionate about equality, diversity, and inclusion. We are committed to being representative of different cultures, background, lifestyles, and groups, where everyone has an equal chance to succeed. It is our policy to treat everyone fairly and to ensure no one is disadvantaged or receives less favourable treatment. We recognise that everyone has different needs and while we can’t accommodate every flexible working request we are more than happy to have a conversation about it.

How we handle your data

118 118 Money requires your personal data to process your application for a position within our Company. If your application is successful through to telephone screening/interview, and you are not selected for a role, we may store your personal data for 12 months to enable our HR team to contact you should future roles be advertised.

Where you apply, but are not selected for telephone screening/interview, we will delete your personal data once the position is filled.

118 118 Money does not use automated decisioning or profiling when selecting candidates.

For your rights under GDPR please see our Privacy Policy.

Please be aware that should we pursue your application, all our Financial Services employees will be expected to complete background checks to assess suitability for employment, these include; a criminal record, identity, sanctions, adverse finance, fraud prevention and reference checks to comply with our regulatory requirements.

Read More Apply Now

Principal .NET Engineer - London - FinTech

London

Permanent

Full-time

Job ID:

54045

Published date:

17/02/2026

Summary

About the job

About Us

At 118 118 Money we are dedicated to helping Britain achieve financial fitness. In 2023 we relaunched the iconic 118 118 twins which reinforced our commitment to improving the financial fitness of people across the country. Our loans and credit cards are designed for those who are often overlooked by mainstream lenders and we have supported more than 800,000 customers on their journey to better financial wellbeing.

We are building on this mission with the launch of 118M8, our new financial fitness app designed to help people take control of their money with confidence. The app will provide simple tools, helpful guidance and clear support to make financial decisions feel less stressful and more achievable.

Our vision is to champion financial fitness across Britain by offering accessible products, valuable resources and reliable support. We are committed to fair and transparent credit solutions that promote financial wellbeing for all.

With a 4.8 Trustpilot rating we are proud to be seen as an approachable lender that provides clear financial support. If you want to make a real difference to peoples’ lives, this could be the ideal opportunity to join our mission.

The role:

We are seeking a highly experienced and motivated Principal Software Engineer with line management responsibilities to join our dynamic engineering team. You will be a technical leader with a proven track record in software development, architecture design and team leadership within the fintech or financial services sector. This role involves defining and communicating technical requirements, leading engineering projects,mentoring team members and collaborating with cross-functional teams to drive innovation and deliver high-quality solutions.

What you'll do:

Architecture and Design: Lead the design and architecture of maintainable, scalable and fault tolerant software systems. Oversee the integration of new technologies and systems into the existing architecture. Conduct regular design reviewsto refine architecture, keeping it current and competitive to the evolving technical landscape. Provide technical direction and leadership for complex engineering projects, ensuring best practices in software development and architecture design.

Technical Leadership: Lead by example in code quality,work ethic and proactive problem-solving.

Develop and document coding standards, guidelines and best practices. Promote the use of modern development methodologies and tools.

Collaboration: Collaborate with cross functional teams to align technical delivery to business objectives. Communicate technical constraints and opportunities to non-technical stakeholders. Ensure technical functional and non-functional output are in sync with business goals and timelines.

Stay up to date with emerging technologies and industry trends: Regularly research and evaluate new technologies that could benefit the organisation. Share knowledge gained with the broader team. Experiment with new tools and technologies to understand their potential impact. Advocate the adoption of technologies that can provide a competitive edge.

Participate in hands-on coding,debugging and troubleshooting as needed.

Code Review & Quality Assurance: Conduct regular code reviews, ensure adherence to coding standards and implement quality assurance processes to maintain high code quality.

Innovation & Improvement: Drive continuous improvement initiatives, including adopting new technologies, tools, and methodologies to enhance team productivity and product quality.

Risk Management: Identify potential risks and develop mitigation strategies to ensure project success and system reliability.

Documentation: Maintain comprehensive technical documentation, including design specifications, system architecture and user guides.

What you'll need:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a relatedfield.
Extensive experience in software engineering, with experience in a leadership role within the fintech or financial services industry.
Proficiency in multiple programming languages (including C#) , cloud platforms (e.g., AWS, Azure) and frameworks (e.g., Spring, React).
Strong experience in designing scalable,resilient, and secure architectures for complex systems.
Demonstrated experience in leading and managing engineering teams, with excellentmentoring and coaching skills.
Proven ability to define, document and communicate clear technical requirements to engineers, ensuring successful project execution.
Proven ability to manage multiple projects simultaneously, with strong organisational and prioritisation skills.
Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.
Strong analytical and problem-solving skills,with a proactive approach to identifying and resolving issues.
Experience with Agile/Scrum methodologies and a strong advocate for agile practices.

What's in it for you?

A competitive salary
Flexible, hybrid working opportunities.
Company bonus scheme - if the business does well, you should get rewarded for your hard work.
25 days annual leave, (plus bank holidays) increasing to 27 after two years service and 30 after five.
Company pension scheme – we provide an enhanced pension scheme with generous employer contributions to set you up for the future which includes life cover of 4x your base salary.
Eye test – you can claim a freebie each year, or if your needs change.
Employee Assistance Programme - we offer membership to a recognised scheme to support you and your wellbeing.
A strong ethos of equality, diversity, and inclusion.
Wide business exposure, in terms of business disciplines, projects and stakeholders.
Direct contribution to business transformation and growth.
Huge learning and career progression opportunities.
Being valued as an individual from our team.
Full training, support and mentoring to develop a successful career in financial services.

Like what you’ve heard? Great - apply now!

As a candidate, we know the interview process can be daunting and it’s important that you have a great experience with us. We will do all we can to make sure you are fully informed and excited by our story so we get to see the best from you. If you need any adjustments made to help you with the interview process, just let us know by emailing claire.hinson@118118money.com and we’ll do our best to accommodate them.

Following your application, we will want to learn more about you, your motivations, experiences, and values. In turn, you get to learn about our business, our culture, the role and what we can offer you.

If you think you’d be great for the role, but don’t necessarily tick all the boxes, we’d still love to hear from you, so apply today and take the first step towards an excititing future!

Equal Opportunity Employer

At 118 118 Money we are passionate about equality, diversity, and inclusion. We are committed to being representative of different cultures, background, lifestyles, and groups, where everyone has an equal chance to succeed. It is our policy to treat everyone fairly and to ensure no one is disadvantaged or receives less favourable treatment. We recognise that everyone has different needs and while we can’t accommodate every flexible working request we are more than happy to have a conversation about it.

How we handle your data

118 118 Money requires your personal data to process your application for a position within our Company. If your application is successful through to telephone screening/interview, and you are not selected for a role, we may store your personal data for 12 months to enable our HR team to contact you should future roles be advertised.

Where you apply, but are not selected for telephone screening/interview, we will delete your personal data once the position is filled.

118 118 Money does not use automated decisioning or profiling when selecting candidates.

For your rights under GDPR please see our Privacy Policy.

Please be aware that should we pursue your application, all our Financial Services employees will be expected to complete background checks to assess suitability for employment, these include; a criminal record, identity, sanctions, adverse finance, fraud prevention and reference checks to comply with our regulatory requirements.

Read More Apply Now

Python Web Scraping Engineer - Remote

Permanent

Full-time

Job ID:

53874

Published date:

10/02/2026

Full Stack Node.JS Developer - Reading - Hybrid

Permanent

Full-time

Job ID:

53738

Published date:

03/02/2026

Summary

Senior Software Developer – B2B SaaS / Retail Market Intelligence

About Brand Nudge

Brand Nudge is a rapidly scaling B2B SaaS business delivering market-leading retail intelligence data to the FMCG and CPG sectors. Our technology helps global brands such as Red Bull, Nestlé, Guinness, McVitie’s and innocent monitor, understand, and optimise their performance in a competitive retail environment.

Our engineering team plays a crucial role in delivering insights at speed and scale, maintaining a robust, highly-available platform that powers decisions for some of the world’s best-known consumer brands.

The Opportunity

We are seeking a Senior Software Developer to lead key architectural decisions across our Node.js/Koa backend and React/Redux front end. You’ll shape how our platform evolves, ensuring performance, resilience, and reliability while mentoring junior engineers and collaborating across Product, Data, and Commercial teams.

This role offers the chance to work with high-volume data, complex queries, real-time dashboards, and sophisticated visualisations—while driving best practices across the entire engineering lifecycle.

Key Responsibilities

Backend Leadership

Taking a senior role in architectural recommendations for our Node.js/Koa services, ensuring performant and maintainable API design as data aggregation grows in complexity.
Mentor developers on writing robust PostgreSQL queries (including CTE-driven analytics), Sequelize practices, and avoiding syntax/ORM pitfalls.
Enhance instrumentation, caching, and shared utilities to improve observability and platform stability under load.
Collaborate closely with stakeholders to guarantee backend services reliably power dashboards, scorecards, and analytics modules.

Frontend Leadership

Taking a senior role in architectural recommendations in a complex Redux Toolkit + Saga ecosystem, ensuring predictable async flows and scalable state management.
Guide implementation of high-performance, data-intensive components using d3, Highcharts, virtualization (react-window), memoization, and React performance rules.
Champion accessibility, performance, resilience, and reusability across the UI layer.
Strengthen developer experience by refining linting, formatting, Cypress e2e suites and MSW mocks.

Platform & Tooling

Oversee build/test pipelines, npm scripts, CI lint rules, and release-readiness processes.
Maintain robust AWS integrations (Amplify, CLI, CDK) and analytics tooling (Mixpanel).

About You

You are an experienced engineer who thrives on ownership, clarity, and technical excellence. You can balance short-term delivery with long-term architectural thinking and have a track record of mentoring others and improving engineering standards.

Requirements

Extensive experience with Node.js, modern JavaScript/TypeScript, and building/optimising API services.
Strong knowledge of PostgreSQL, CTEs, performance tuning, and ORM best practices (ideally Sequelize).
Deep experience in React, Redux Toolkit, and Saga/Thunk-based async flows.
Familiarity with data-visualisation tooling (Highcharts, d3) and performance optimisation.
Experience owning deployments, CI/CD pipelines, and quality tooling.
Excellent communication skills and ability to guide technical discussions.

Why Join Brand Nudge?

Ownership of mission-critical systems used by leading global brands.
Hybrid working model (Reading HQ + remote flexibility).
High autonomy and influence over technical direction.
Opportunity to mentor and lead within a fast-growing engineering team.
Competitive salary.

Ready to grow your engineering career?

Apply now and help build the future of retail intelligence at Brand Nudge.

Read More Apply Now

AI Engineer - EdTech - Fully Remote

Permanent

Full-time

Job ID:

53540

Published date:

21/01/2026

Summary

AI Engineer

• Location: Remote within the UK (London or nearby is a plus)) • Type: Full-time • Salary: £60,000-£70,000 depending on experience

About the role

We’re looking for an AI engineer to build intelligent auto-assessment systems that automate the evaluation of knowledge and skills. Your main focus will be leveraging customer data (marking rubrics and criteria, example marked answers with scores, SME feedback on edge cases, assessment specifications, and historical marking patterns) to deploy auto-assessment solutions that are fast, accurate, consistent, and pedagogically sound. You’ll build APIs, evaluation frameworks, and LLM workflows that help awarding bodies and training providers scale assessment while generating actionable insights for learners and educators.

You’ll own the entire model lifecycle: from data collection and preparation, through experimentation and evaluation, to deployment, observability, and continuous improvement. We’re a small, pragmatic team where processes are informal and everyone pitches in to improve how we work. This role requires strong independence: you’ll own technical decisions, work autonomously without close supervision, and help steer our AI architecture and approach.

About us

sAInaptic is a UK-based AI company reinventing workforce certification. We work with awarding bodies and training providers to automate evaluation of knowledge and skills, helping clients save money and time while improving feedback and consistency of marking. Our vision is to get more skilled professionals into the future workforce.

Key responsibilities

• Leverage customer data (marking rubrics, example marked answers, SME feedback, assessment specifications) to build and deploy auto-assessment solutions that are fast, accurate, consistent, and pedagogically sound

• Design evaluation pipelines and metrics aligned with marking criteria; maintain golden datasets and regression tests; use statistical testing (e.g., t-tests) to rigorously compare model versions and validate improvements

• Experiment with, tune, and benchmark LLMs using tools like DSPy and Langfuse; optimise latency and cost

• Work on multimodal workflows that process images and video alongside text, analysing content and meaning for accurate scoring

https://sainaptic.com/

• Build systems that generate clear, actionable feedback aligned to assessment criteria, with confidence signals and rationales

• Instrument LLM workflows with tracing and online evaluation; design guardrails and fallbacks (confidence thresholds, human review)

• Help steer technical decisions and architecture for our AI assessment systems • Collaborate with the dev team and assessment experts; participate in code reviews

Requirements

• 5-6 years of ML- or AI-focused engineering experience, OR a PhD in a relevant field (e.g., NLP, machine learning, deep learning, information retrieval, computer vision, or speech processing) with 2+ years of applied industry experience

• Experience owning the full model lifecycle: data collection and preparation, experimentation, deployment, observability, and continuous improvement

• Strong independence: comfortable working autonomously, making technical decisions, and helping steer technical direction without close supervision

• Hands-on experience working with LLMs, agentic workflows, and related frameworks (LangChain, LangGraph, DSPy)

• Strong Python programming skills; experience building APIs • Proven track record designing evaluation frameworks and tuning model

performance, including statistical testing for model comparison (e.g., t-tests to compare error distributions between model versions)

• Experience with experiment tracking and production observability (MLflow/W&B/DVC, Langfuse or similar, confidence calibration, human-in-the-loop)

• Experience with cloud platforms (AWS preferred, or Azure) for model deployment, evaluation, and scalable AI workloads

• Understanding of data privacy, fairness, auditability, system integrity, and scalable architecture

• Proficiency with Git, GitHub, and collaborative development workflows

Nice to have

• Startup experience or experience working in small, fast-moving teams • Experience with assessment technology, EdTech, or automated evaluation systems • Familiarity with ML frameworks (PyTorch, Scikit-learn) • Experience with semantic search, retrieval pipelines, or document analysis • Background in natural language processing or automated scoring • Experience with multimodal AI: speech-to-text for audio/video, computer vision for

images/video, or combining multiple modalities

Benefits

• Equity/stock options

• Pension contributions with employer match up to 5% of salary • Company laptop (MacBook) • 25 days annual leave

About the role
About us
Key responsibilities
Requirements
Nice to have
Benefits

Read More Apply Now

AI Engineer - London - Sports

London

Permanent

Full-time

Job ID:

52437

Published date:

27/11/2025

Summary

Job Title: Senior AI Research Engineer Location: Clerkenwell, London, UK (Hybrid) Department: TFG Labs Reports To: Head of TFG Labs

About TFG Labs: TFG Labs is the innovation arm of Twenty First Group, dedicated to pioneering AI-driven solutions that redefine the future of sports. We focus on developing groundbreaking technologies that enhance decision-making, performance analysis, and fan engagement across the sports industry. As a senior member of the Labs team, the research experiments you conduct will shape how the future of how AI and sports intersect.

Role Overview: We are seeking a visionary and experienced Senior AI Engineer with a growth mindset to be a foundational pillar of our new AI Engineering team in TFG Labs. This is a role for a strategic thinker and a hands-on builder who is obsessed with the rapid advancements in AI. You will be our go-to expert on emerging AI paradigms, from agentic workflows to multi-modal systems, and will be empowered to drive our R&D roadmap. Your primary mission is to architect and prototype the next generation of AI-powered tools that will give TFG and our clients a definitive competitive edge, on and off the pitch.

Key Responsibilities:

● Lead AI Research & Development: Drive the R&D of emerging technologies, and move beyond hype to identify tangible value for our business and clients.

● Architect and Build Advanced Prototypes: Lead the hands-on development of sophisticated AI prototypes, particularly focusing on agentic systems, automation platforms, and novel applications of Large Language Models (LLMs).

● Drive Technical Adoption: Analyse and drive the evolution and internal adoption of our AI infrastructure and tooling.

● Thought Leadership & Evangelism: Act as a thought leader within TFG. Translate complex AI concepts and the implications of your experiments for diverse audiences, from junior engineers to the C-suite. Mentor other team members, fostering a culture of curiosity and excellence.

● Defining Pathways for Integration: Collaborate with cross-functional product and engineering teams to chart a path for successful prototypes to become scalable, integrated solutions within our core products.

Core Qualifications:

● Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

● 5+ years of hands-on experience in a dedicated AI/ML engineering role, with a demonstrable track record of building and shipping complex systems.

● Expert-level proficiency in Python and its core AI/ML libraries (e.g., PyTorch, TensorFlow, LangChain, LlamaIndex), and comfortable transitioning to a ‘pilot’ role using AI tools to amplify your productivity.

● Proven experience designing, deploying, and managing scalable AI solutions on at least one major cloud platform (AWS, GCP, Azure).

● Solid understanding of MLOps principles and experience with relevant tools (e.g., Docker, Kubernetes, MLflow) for building robust, production-ready systems.

The Ideal Candidate Profile: This role is a perfect fit if you...

● Are at the bleeding edge of AI: You don't just follow the news; you're ahead of it. You actively follow research from top labs (OpenAI, DeepMind, Anthropic), experiment with open-source models the week they drop, and can articulate the architectural nuances between them.

● Are an architect of intelligent agents: You have hands-on experience designing and building agentic AI systems. You understand how to orchestrate multiple models, tools, and memory to perform complex tasks and are familiar with architectures like the Model-Control-Perception (MCP) loop or similar multi-agent frameworks.

● Are a master of the modern AI toolkit: You were an early adopter of GitHub Copilot and have since graduated to tools like Cursor or building your own custom developer automation. You intuitively use AI to achieve a 10x developer workflow and can evaluate new tools for team-wide adoption.

● Are a clear communicator and educator: You can demystify complex AI concepts. You can confidently explain to a non-technical stakeholder why an LLM hallucinates or why "2+2" might not always equal "4" in a probabilistic model, tailoring your explanation to the audience.

● Are passionate about the application: You have a genuine interest in sports. You understand that our clients' businesses run not just on data, but on a deep-seated passion for the game. Creative taste is a significant bonus.

What We Offer:

● A pivotal role in shaping the AI strategy of a leader in the sports intelligence industry. ● Significant autonomy and the budget to explore bold ideas and cutting-edge

technologies. ● The opportunity to work on genuinely novel problems with a world-class,

collaborative team. ● Competitive salary, comprehensive benefits package. ● A flexible hybrid working model and a healthy dose of sports-related fun.

Application Process: Interested candidates should submit their resume and a cover letter. In your cover letter, please briefly describe a recent AI experiment you've run (personal or professional) or a research paper that has recently excited you and why.

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AI Engineer - London - Fintech Trading

London

Permanent

Full-time

Job ID:

51627

Published date:

13/11/2025

Summary

About the job

About the Company

EC Markets is a leading investment and trading services provider, offering clients access to global financial markets through innovative technology and a commitment to regulatory excellence. We specialise in delivering trading solutions across a diverse range of asset classes, including equities, forex, commodities, and derivatives, with a strong focus on transparency, integrity, and client success.

With a client-first approach, we are dedicated to creating a secure and supportive trading environment that meets the highest regulatory standards. Our culture is built on collaboration, accountability, and continuous improvement, ensuring that both our clients and employees benefit from our forward-thinking approach to financial services.

About the Role

We are looking for a talented and enthusiastic AI Developer (Python) to join a growing team of experienced technologists and finance professionals and build a best-in-class trading/investment platform, with opportunities for technical ownership from day one. Please note that this role is office-based (Finsbury Square, Monday to Friday).

Responsibilities

Build and maintain services that support AI agent interaction.
Implement APIs, contracts, and metadata aligned with the Model Context Protocol.
Develop internal tooling that supports AI-native workflows.
Establish best practices for prompt engineering, model fine-tuning, and evaluation.
Stay current with developments in AI/ML and apply relevant research to product needs.
Participate in design reviews, code reviews, and incident response.

Qualifications

Bachelor’s degree in Computer Science, Engineering, or equivalent.

Required Skills

Software development experience with proven expertise in at least one programming language (Python / Java / Typescript) with experience building APIs and integrating backend systems.
Solid Machine Learning fundamentals.
Model Context Protocol for managing context and tool interfaces for agents.
LLM integration patterns, including prompt orchestration and tool calling.
Retrieval-Augmented Generation (RAG) for dynamic context injection.
Understanding of user-centric design for AI interfaces and intelligent automation.
Experience with AI frameworks (PyTorch, Tensorflow, Hugging Face etc.).

Preferred Skills

Preferred knowledge of AWS, particularly AWS Bedrock for LLM deployment and orchestration.
Self-motivated with a strong growth mindset.

Pay range and compensation package

Competitive salary and performance-based bonus.
Opportunities for professional growth and career advancement.
Contribution pension scheme.
A collaborative and innovative work environment

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