About the job

About Ignota Labs Ignota Labs is a multi-award-winning drug turnaround company tackling one of the industry's biggest bottlenecks: drug safety. Through cutting-edge explainable AI, we identify and resolve toxicity issues in promising drug candidates, unlocking their potential to become safe, effective therapies.

At Ignota Labs, you'll work at the intersection of cutting-edge AI, real-world drug development and business innovation. Our mission is ambitious, and we're building a team of equally ambitious, experienced and forward-thinking experts who are excited by the opportunities recent innovations in AI and technology can bring. This is not just relevant for drug development but also for running an organisation in a more efficient way, allowing experts to automate the small, repetitive tasks and become 10 times more productive.

Ignota Labs are venture capital backed and have recently closed a substantial seed round with leading Silicon Valley investors.

About The Role As a Senior AI Engineer at Ignota Labs, you will design and build the agentic systems, LLM-powered tools, and cloud infrastructure that will help our scientists identify failed drugs and bring them safely to patients. Your systems will augment and assist human experts at all stages of our business, from identifying high-potential drug programmes to helping to validate new chemistry.

Joining Ignota Labs at this stage will give you the ability to have an outsized impact on our efforts to automate some of the knowledge work that goes into drug discovery and development. With each successfully rescued drug, you will have made a direct contribution to bringing medicines to patients who otherwise would not have had access to them.

Requirements What Makes This Role Unique Applied: The tools you build will directly enable research that has a tangible path to patient impact.

Multi-disciplinary: You'll work closely with scientists, ML researchers, and engineers, gaining insight into the end-to-end drug discovery and development process.

Dynamic: Ignota is a fast-paced, startup environment — every week will bring new challenges and opportunities to learn.

Innovative: You'll work with state-of-the-art AI models and services, deploying them in creative ways to solve complex, real-world R&D problems.

What You'll Do

• Design the and build orchestration architecture for multi-modal drug redevelopment workflows
• Collaborate with ML researchers to prototype and deploy experimental models into usable tools
• Build automation and agentic systems to streamline literature review, data extraction, and target identification
• Work with scientists to ensure tools are robust, reproducible, and easy to use
• Continuously improve development, testing, and deployment processes

Who You Are Mission-oriented: You want your engineering work to accelerate life-changing scientific research.

Fast learner: You can quickly absorb new technologies, APIs, and scientific concepts.

Collaborative: You work effectively with interdisciplinary teams, adapting your communication for technical and non-technical audiences.

Curious & versatile: You enjoy working across domains and connecting ideas between them.

What You'll Bring

A strong candidate will have most of the following attributes:

• Strong Python development experience, writing production-quality, maintainable code
• Experience integrating and orchestrating AI/LLM services via APIs and related tooling
• Experience with agent frameworks such as Pydantic AI, Langgraph, or Crew AI
• Experience leading and managing technical teams
• Experience running and evaluating agentic systems in production
• Strong technical communication skills
• Ability to rapidly prototype and iterate quickly based on feedback
• Comfortable taking high-level research goals and turning them into working solutions
• Familiarity with at least one cloud platform, ideally GCP

Benefits What We Offer

• A competitive salary (c. £70-90K depending on experience), performance-based bonus, pension, and equity in a high-growth startup
• Opportunities for rapid career growth and progression as we scale.
• A collaborative, flexible, hybrid working environment. We have offices in Cambridge with remote options and tools to support seamless communication
• Vitality health insurance, including mental health, dental, and optical care
• The chance to bring potentially life-saving drugs back to patients - helping improve the lives of millions

We regret that we cannot support visa applications for this role

AI Engineer (Contract)

Remote | Full-time preferred | 4-6 months, with potential to extend

We’re looking for an AI engineer to build intelligent assessment systems that transform how skills and knowledge are evaluated. You’ll work across backend systems, evaluation frameworks, and LLM workflows to create scalable, accurate AI features that help awarding bodies and training providers automate assessment, generate user insights, and enable adaptive learning experiences.

We’re a small, pragmatic team where processes are informal and everyone pitches in to improve how we work. You should be comfortable working independently, making technical decisions without everything being fully specced, and building systems that can adapt as requirements evolve. We’re building our AI assessment capabilities, and your expertise will help shape our approach to automated evaluation.

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.

What you’ll do

• Design evaluation pipelines and metrics aligned with marking criteria; maintain golden datasets and regression tests
• Experiment with, tune, and benchmark LLMs; optimise latency and cost
• Prototype and productionise agent-based workflows with tool calling to reduce manual setup
• Build and maintain APIs and services for AI-driven assessment features
• Build multimodal workflows that process images and video alongside text, and apply semantic analysis for accurate scoring
• Build systems that generate clear, actionable feedback aligned to assessment criteria, with confidence signals or brief rationales, to support adaptive learning insights
• Instrument LLM workflows with tracing and online evaluation (e.g., Langfuse); design guardrails and fallbacks (confidence thresholds, human review); document evaluation methods and results for reproducibility
• Collaborate with the dev team (4-5 developers) and assessment experts; participate in code reviews; contribute to architecture

What we’re looking for

• 4+ years of backend or AI-focused engineering experience

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

• Strong Python programming skills; experience building APIs

• Proven track record designing evaluation frameworks and tuning model performance

• Experience shipping AI features that use at least one of: speech-to-text for audio/video, or computer vision for images/video

• Experience with experiment and production observability and safeguards (MLflow/W&B/DVC, Langfuse, 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

• Comfortable working without close supervision and contributing to shared architecture

Bonus points for

• 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

• Interest in prompt engineering, user intent modelling, or AI agent design

• Background in natural language processing or automated scoring

• Experience with both speech-to-text and computer vision, and with models that combine images/video with text

Working hours & location

This is a fully remote position. We’re UK-based and prefer significant overlap with UK hours. Full-time availability is ideal, though part-time may be considered. Competitive rates offered.

Senior Cloud & Information Security Engineer

Job Purpose

The Senior Cloud & Information Security Engineer owns EC Markets’ technical security posture and cloud infrastructure. This role is responsible for designing, implementing, and operating secure systems while supporting regulatory compliance.

Key Responsibilities

Information Security Ownership

• Own day-to-day information security controls and technical safeguards.
• Implement and maintain security monitoring, logging, vulnerability management, and hardening.
• Manage identity and access controls from a technical enforcement perspective (least privilege, MFA, segregation).

Cloud & Infrastructure Engineering

• Design, build, and maintain cloud infrastructure (e.g. Azure/AWS), including network setup, with security-by-design principles.
• Own infrastructure-as-code, configuration management, and automation.
• Ensure secure networking, backups, encryption, and resilience of cloud services.

DevOps & Secure Engineering

• Support CI/CD pipelines, release processes, and secure change management.
• Embed security into development and deployment workflows.
• Maintain version control, environment separation, and technical auditability.

Security Testing & Technical Assurance

• Lead technical aspects of penetration testing, vulnerability scans, and remediation.
• Support vendor selection and coordination for external security testing and specialist reviews.
• Translate findings into concrete technical fixes.

Incident Response (Technical Lead)

• Act as technical lead during security incidents.
• Support forensic investigation, containment, and recovery.
• Contribute to post-incident reviews and control improvements.

Regulatory Support (Technical)

• Provide technical evidence and explanations to support audits and FCA reviews.
• Work closely with the IT Manager and Compliance on demonstrating effective controls.

Skills & Experience

• Degree in Computer Science, Data Engineering, or related field.
• 5-8 years of hands-on experience in cloud engineering and information security.
• Excellent understanding of networking in on-premises and cloud.
• Knowledge of security frameworks (ISO 27001, NIST) applied in practice.
• Experience with DevOps tooling, automation, and secure system design.
• Certifications such as CISSP, CISM, CCSP, or cloud security certifications are desirable.

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.

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.