Coding jobs in United Kingdom - Page 2

Ultimate Tech Instructor - Richmond upon Thames, London \n\n Broomfield House School \n\n \n\n The Details: \n\n\n\t • Title: Ultimate Tech Instructor\n\t, • Reporting to: Ultimate Tech Leader\n\t, • Contract: Seasonal work available in summer school holidays\n\t, • An enthusiastic, energetic individual, who has experience in working with children and has a passion for helping young people develop their IT skills.\n\t, • Some experience in teaching or delivering coding or IT activities, able to tailor delivery and structure according to age and ability, adapting on the day.\n\t, • Good organisation and communication skills.\n\t, • Problem-solving skills, and patience is required.\n\t, • Interest in IT, Computer Science or Coding\n\t, • Have had experience coding with Python and used a Microbit. This is not essential as we will provide training but would be great to have.\n\t, • Paid pre-camp training programme to prepare you to be an Ultimate staff member.\n\t, • Subsidised First Aid qualifications and CPD opportunities.\n\t, • Competitive pay with progression opportunities.\n\t

Location: London, London, United Kingdom Rate: £600 per day Contract type: Contract We are seeking a Senior Java Developer to join a modern engineering team building high-performance, cloud-native services. You will take ownership of backend design and delivery, mentor engineers, and help elevate engineering standards. A key focus of this role is accelerating team capability with GitHub Copilot—we are looking for a genuine enthusiast who uses it daily, understands the newest features, and can coach others to use it safely and effectively. Key Responsibilities • Design, build, and optimise microservices and APIs using Java 21., • Drive best practice in code quality, testing, secure coding, and performance tuning., • Build and integrate with NoSQL data stores and event-driven components where appropriate., • Deliver cloud solutions on Azure and/or AWS, including CI/CD and infrastructure collaboration., • Champion developer productivity, including effective daily use of GitHub Copilot and prompting patterns., • Significant commercial experience as a Senior Java Developer, with strong hands-on delivery., • Expert knowledge of Java 21 and modern Java ecosystem (Spring Boot, Gradle/Maven)., • Strong experience with microservices, RESTful API design, and distributed systems., • Solid experience with NoSQL technologies (e.g., MongoDB, DynamoDB, Cosmos DB, Cassandra)., • Cloud experience in Azure and/or AWS (security, networking basics, managed services, monitoring)., • Excellent knowledge of automated testing (unit/integration), CI/CD, and version control (Git)., • GitHub Copilot: daily user who understands key new features, limitations, governance, and secure usage; able to upskill others., • Containerisation and orchestration (Docker, Kubernetes)., • Observability tooling (OpenTelemetry, Grafana, Prometheus, Azure Monitor, CloudWatch)., • Experience with event streaming (Kafka, Event Hubs, Kinesis).

Role: Lead React Native Developer Compensation: Up to £120,000 (Permanent) Location: Hybrid (UK-based) Tech Stack: React Native Leading the design and development of scalable, high-performance mobile applications using React Native • Defining and driving mobile architecture decisions, best practices, and coding standards, • Owning features end-to-end, from concept and design through to deployment and monitoring, • Collaborating with product managers, designers, and backend engineers to deliver seamless user experiences, • Improving app performance, reliability, and maintainability across the mobile platform, • Mentoring engineers and fostering a strong engineering culture within the team, • Influencing technical strategy and contributing to long-term mobile roadmap decisions

Key Accountabilities: • Knowledge and experience in global energy markets with the ability to identify and prioritize fundamental and quantitative analysis/modelling that provides commercial insights to the trading organization., • Strong communication skills with the ability to communicate analytics to necessary stakeholders and influence commercial decisions., • Develop and implement fundamental balances, pricing models and other tools to surface commercial opportunities within the low-carbon, power, gas, and oil markets, harnessing best practices and advanced modelling techniques., • Engage with stakeholders (traders and analysts) to ensure that solutions/models are optimal and deliver deep commercial insight., • Identify repetitive processes that can be standardized into modules that can be reused across projects. Essential Experience • Undergraduate degree in STEM subject or quantitative discipline., • Knowledge of European energy markets (e.g. gas, LNG, or power)., • Understanding of supply and demand drivers together with how physical and related financial instruments are traded., • Track record of working with traders or other business stakeholders to create commercially actionable models., • Experience with a range of modelling techniques including, regression, time series analysis, forecast modelling and machine learning., • Excellent problem-solving skills., • Experience using a coding language to develop models and analytical tools., • Experience manipulating and analyzing large, complex datasets. Desirable Experience & Skills • Practical knowledge of data engineering practices (designing and building robust data pipelines), • Knowledge of python and core libraries applicable to data science (e.g., pandas, numpy, statsmodel)

Are you passionate about building real, production‑grade AI systems—not just prototypes or research models? We’re partnering with a fast‑growing, well‑funded AI‑native consultancy that delivers enterprise‑scale AI solutions to major organisations across Financial Services, Energy, Healthcare, Retail, and Manufacturing. Working alongside global partners such as Anthropic, Databricks, AWS, OpenAI, and Microsoft, the team focuses on designing and deploying advanced AI systems that solve complex real‑world problems with speed, clarity, and measurable impact. As part of their expansion, we are looking for experienced AI Engineers who can build robust, scalable applications powered by large language models. The Role As an AI Engineer, you will design, build, and deploy production‑grade LLM‑powered systems. This role sits at the intersection of software engineering, AI implementation, and agentic orchestration. You will work on: • Multi‑agent architectures, • Intelligent tool and API integrations, • RAG pipelines and vector‑based retrieval, • Evaluation frameworks and AI observability Key Responsibilities • Build production AI systems using LLMs, RAG pipelines, vector databases, and agentic frameworks, • Design evaluation and observability frameworks to measure performance, accuracy, and reliability, • Develop clean, scalable applications with proper error handling, APIs, and data pipelines, • Implement and maintain retrieval systems (vector/graph databases, ingestion pipelines, chunking strategies, advanced retrieval methods such as HyDE), • Integrate feedback loops to improve system behaviour over time, • Craft effective prompts and optimise latency, cost, and output quality across multiple model providers, • Hands‑on experience building applications using LLM APIs, • Deep understanding of model capabilities, limitations, and failure modes, • Practical experience with RAG, vector databases, knowledge graphs, and prompt engineering, • Experience building multi‑step LLM workflows and agentic systems (e.g. LangChain, LangGraph, Claude Agents SDK, Strands, or custom frameworks), • Strong proficiency in Python (or similar language) and developing production APIs/services, • Cloud experience with AWS, GCP or Azure, • Solid understanding of distributed systems, CI/CD, testing frameworks, and deployment pipelines, • Experience designing or operating cloud‑native, production‑grade infrastructure, • Strong data manipulation skills (Pandas, SQL), • Experience with AI‑assisted coding (Claude Code, GitHub Copilot, etc.), • Experience fine‑tuning LLMs or deciding when to use fine‑tuning vs RAG/prompting, • Exposure to streaming, multimodal models, or search technologies (Elasticsearch, etc.), • Familiarity with observability tools (LangSmith, Weights & Biases), • Experience in regulated or industry‑specific environments (finance, energy, healthcare, legal, retail), • A fast‑growing organisation with significant opportunities for career progression, • Highly competitive salary + bonus, • A collaborative, engineering‑driven culture where you’ll make an impact from day one, • Financially strong, well‑backed business with global expansion plans, • Choose your own gear (MacBooks, PCs, accessories), • Dedicated learning & development budget

Embedded Software Engineer Location: Ealing Area - Hybrid Work from Home Salary: Up to £65,000 + Extensive benefits The Role KO2’s client is seeking a talented Embedded Software Engineer to help deliver robust, high-quality embedded software for existing and future electric products. This is an exciting opportunity to be involved in the full product lifecycle—from early prototype development through to production and manufacturing. Key Responsibilities • Develop high-quality embedded software that is efficient, maintainable, and scalable, • Work collaboratively with hardware engineers to support board bring-up, debugging, and system validation, • Design, implement, test, and support embedded software for internally developed electric systems, • Investigate and resolve complex real-time challenges related to timing, performance, and signal integrity, • Play an active role in shaping software architecture, coding standards, and future platform direction About You • Strong programming skills in C and C++, • Hands-on experience with embedded communication protocols such as BLE, CAN, I2C, UART, or SPI, • Comfortable using version control systems, particularly Git, • A proactive problem-solver with a methodical approach to identifying root causes, • Demonstrated experience in embedded software development, • Familiar with the full software development lifecycle, from requirements through to testing Desirable Skills • Experience with functional safety standards (ISO 13849 or ISO 26262), • Experience working with CI/CD pipelines (e.g. Jenkins, Docker), • Experience developing RTOS-based applications, • Familiarity with Python for tooling or automation Additional Requirements • Full right to work in the UK without sponsorship Apply today with an up-to-date CV or contact KO2 Embedded Recruitment for more details.

Python Engineer (Contract) Location: Canary Wharf (3 Days Per Week) Contract Type: Contract – Inside IR35 Day Rate: £500 per day Interview Process • LeetCode-style live coding interview, • Final technical interview We are looking for an experienced Senior Software Engineer to join a high-performing engineering team working on scalable platforms and data-driven systems. This role focuses on building robust backend services, working with modern cloud technologies, and contributing to the design of high-quality software solutions. This is a great opportunity for an engineer who enjoys solving complex problems, collaborating with cross-functional teams, and delivering production-grade systems in a fast-paced environment. Key Responsibilities • Design, develop, and maintain scalable backend services and APIs, • Write clean, maintainable, and well-tested code, • Collaborate with engineers, product teams, and stakeholders to deliver high-quality solutions, • Contribute to architecture discussions and technical design, • Work with cloud-native technologies and distributed systems, • Participate in code reviews and engineering best practices, • Troubleshoot and optimise system performance Key Skills & Experience • Strong experience with Python development, • Experience building scalable backend systems and APIs, • Familiarity with cloud platforms (AWS, Azure, or GCP), • Experience working with microservices architectures, • Strong understanding of data structures and algorithms, • Experience with CI/CD pipelines and modern engineering practices, • Excellent problem-solving and communication skills

About This team is building the representation layer for how companies operate. They acquire sticky B2B software businesses and plug them into a shared AI operating system. The challenge is turning fragmented, messy data across systems (CRM, billing, product, support, contracts) into clean abstractions that software can reason over. Think: modelling how a company actually works – then using that layer to drive predictions, workflows, and eventually autonomous actions. The engineering team is small (~5 today, scaling to ~15 ASAP). They’ve built maybe 3–5% of what the final system will become. Most of the core architecture, abstractions, and technical decisions are still ahead. The founding team has an exceptional track record (including a prior multi-billion exit), and the business is already generating significant revenue across its portfolio. The work is 0→1, with immediate impact. What you'll do • Build the core systems that ingest, structure, and model multi-source enterprise data, • Design abstractions that unify different schemas, workflows, and business logic, • Work on AI-native workflows (LLMs, agents, internal tooling) on top of that representation layer, • Ship production systems end-to-end across backend and product surfaces, • Make trade-offs between speed and long-term architecture in a fast-moving environment, • Work directly with product and commercial teams on high-impact problems Stack • Backend in Ruby, Python and Rust, • Frontend in TypeScript / React, • Heavy use of AI coding tools (Claude Code, Cursor, etc.) The stack will evolve – they care more about how you think than what you’ve used. What you'll need • Strong engineering fundamentals (language-agnostic), • Experience building production systems with real users and data, • Solid understanding of system design, data modelling, and APIs, • Ability to operate in ambiguity and break down complex problems, • Product mindset and high ownership Shortlisted candidates will be contacted within 48 hours.

About Elysium Robotics We are opening a London, UK based office. Elysium Robotics is an early-stage company headquartered in Austin, Texas, developing revolutionary low-cost, highly capable robotic systems with dexterity and natural grace. Our proprietary muscle-like elastic actuator technology addresses a decades-old challenge in robotics, enabling automation for tasks current robots cannot do. These microfiber actuators enable real bio-mimetic design opportunities based on the same muscle fiber actuation principles biology engineers with. We're building a world-class team of curious, independent, and highly skilled makers tackling ambitious challenges in robotics. If you thrive on solving impossible problems, pushing boundaries, and creating just because you can't not—we should talk. But if this isn't your dream, spare us and yourself. We are opening a software focused office in London that will support and collaborate with the core team in Austin, TX. This UK based team will be responsible for Robotic System Design, Simulation, Task Control, and Training, along with Lab Data and Analytics Systems. Role Overview As a Senior Robotics Controls Engineer, you will define how robotic systems built with our proprietary muscle-like actuators move and interact with the world. You will develop the closed-loop control algorithms and policies that enable robust and reliable capabilities, such as dexterous manipulation or energy efficient locomotion utilizing natural resonance in the elastic actuation system. You will get to design the world's best control architecture for elastic muscle fiber based reciprocal tensile actuation systems. Eventually you will figure out how to control systems with 200k elastic actuators, on scale with the number of human fiber-bundle actuator units. Key Responsibilities • Muscle Control: Support the development of closed-loop stiffness control for muscle bundles; use experimental data to identify non-linear behaviors and adapt models to manufacturing variance., • Bio-inspired Architectures: Design and implement reciprocal elastic muscle control strategies to independently control torque and stiffness across complex robotic systems., • High-DOF control: Develop control strategies that can scale to hundreds and thousands of elastic actuators., • Dynamics Controls: Implement algorithms for controlled resonance for rhythmic tasks like walking, hammering, or sawing., • Maintain Prototypes: Manage prototype hardware for testing. Systems will be created by US team., • Simulations: Work closely with Simulation and Design Engineers to explore control concepts in simulation platform prior to hardware implementation. Qualifications • Deep expertise in Impedance Control, Model Predictive Control (MPC), and ML-based policy learning., • Experience with Elastic Actuation and active/passive compliance., • Familiarity with whole-body or multi-contact manipulation strategies., • Advanced degree (MSc/PhD) in Robotics or related field preferred. Why Join Elysium Robotics UK? • High Impact: Help build a new team in the UK from the ground up, supported by the leadership of our US HQ., • Complex Challenges: Solve deep-tech problems at the frontier of materials science, ML, and robotics., • Flexibility: We offer a bias towards remote work while maintaining a key hub in the UK's premier tech corridors., • Elite Talent: Work alongside senior, self-directing engineers in a flat, fast-moving organization. Location: Initial hires will work from home with the expectation that a central office will be established in the coming months. This office will likely be in Central London or Kings Cross area, and a flexible hybrid schedule of in-person and remote work will be established. Who We're Looking For • Science & Engineering: Multidisciplinary engineers with expertise in material sciences, soft robotics, bio-inspired/tendon-driven robots, high-voltage (~1-5 kV) electronics, and first-principles problem solving. You need to code—at least enough to analyze your data. If your peers call you a Jedi, or if you've built your own unique 3D printer or CADed, printed, PCBed, and coded a robot, you're perfect for us. If your expertise is limited to coding PLCs, industrial automation, or ML models, we're not there now., • Culture Fit: We want self-taught wizards who also learn from others. Are you curious? How do you learn? What makes you lose track of time? How to Apply (Hint: Impress Us) • Show Us Your Work - Send at least three outstanding projects that showcase your mastery. Pictures and videos, please., • Tell Us Why You Built It - What problem were you solving? What did you learn? We admire good ideas executed well and bad ideas executed brilliantly if they pushed boundaries., • Tell Us What You Did - If it was a team project, clarify your role. Were you the one who lost sleep to make it happen?, • Do Your Research - Read up on what we do, where we are, and how your skills fit. If your email could be sent to any startup, don't send it to us. Be specific about why we need you., • Skip the Fluff - Show us your work on our field, or articulate why you like our approach. No copy-paste enthusiasm., • Be Succinct - If you had one sentence or picture to convince us, what would it be? Lead with that. Follow with amazing details if necessary., • What's Your Favorite Robot? - Real or sci-fi, doesn't matter. Why does it fascinate you?, • Are You Using AI? - How? What excites you? What frustrates you? What to Send 📩 • A brief, convincing paragraph or two, • A portfolio or links showcasing your best work, • A short explanation of why you built those projects We are an equal opportunity employer. If you require any reasonable adjustments during the application or interview process, please let us know.

Reward Gateway | Edenred, is a global leader in benefits and employee engagement. We help businesses attract, engage, and retain top talent through strategic rewards, recognition, and well-being solutions. Guided by our shared missions of ‘Making the World a Better Place to Work’ and ‘Enriching Connections, For Good’, we are committed to transforming workplaces and improving people’s daily lives. As we continue to expand our business, we have an opportunity for a hands-on AI Engineer who is excited about turning real-world challenges into smart, scalable solutions. You will work with the latest third‑party AI services, build streamlined workflows and craft high‑impact prompts that boost our internal tools, speed up developer productivity and elevate the customer experience. You will work closely with Product, Operations, and Engineering teams to turn ideas into practical solutions and contribute to improvements across the platform. Key Responsibilities • Build and deliver production‑ready AI and Generative AI solutions using LLMs, RAG architectures, agents, and responsible AI practices., • Use AI coding assistants such as Cursor, GitHub Copilot, and Claude Code to accelerate development while maintaining ownership of outcomes and documenting best practices and repeatable patterns., • Manage cloud infrastructure and platform operations, including AWS, Kubernetes, CI/CD pipelines, Terraform, monitoring, performance optimisation, and cost control., • Design, develop, and maintain backend services in Python, and contribute to React, TypeScript, and PHP codebases when required., • Lead evaluation and iteration cycles, including defining and tracking offline and online metrics, running A/B tests, meeting latency and cost targets, implementing human‑in‑the‑loop validation, and ensuring robust observability., • Implement and maintain retrieval pipelines using embeddings, vector databases, hybrid search methods, and effective chunking strategies., • Collaborate closely with Product using a working‑backwards approach, producing technical designs, breaking down work, and delivering iteratively., • Improve internal AI development tooling, including shared libraries, SDKs, and reference implementations for RAG, tracing, prompt management, and evaluation., • Contribute to internal enablement and capability‑building activities across the organisation., • Partner with Security, Legal, and Data teams to define AI policies, review risks, and ensure privacy, PII protection, and regulatory compliance., • Mentor peers, conduct code reviews, and share knowledge to elevate engineering standards across the organisation. Skills, Knowledge and Expertise • Proven experience in shipping production‑grade AI solutions., • Applied AI expertise across LLMs, RAG, agentic workflows, prompt engineering, embeddings, vector databases, hybrid search techniques, and effective chunking strategies., • Strong Python as a primary language, with solid testing practices and CI/CD experience; able to contribute when needed in React, TypeScript, and PHP or Node.js., • Cloud and platform engineering skills, including AWS, Kubernetes, Docker, infrastructure as code, and modern observability tooling., • Hands‑on experience with leading LLM providers such as Anthropic, Claude and OpenAI, with the ability to evaluate additional model providers and approaches., • Familiarity with LLM tooling ecosystems such as LangChain or LlamaIndex, agentic AI frameworks, vector stores, tracing and logging tools, prompt management platforms, and evaluation frameworks., • Strong data engineering capabilities, including dataset creation and validation, ETL development, SQL schema design, and the definition and tracking of meaningful product and model metrics., • Solid understanding of ML fundamentals and experimentation, including metric design, error analysis, model selection, and performance tuning., • A strong security and governance mindset, with the ability to communicate clearly with both technical and non‑technical audiences, and a high level of ownership from discovery through production and iterative improvement. The Interview Process • Online interview with the Talent Partner and the Director of AI Engineering, • Technical interview with Director of AI Engineering, VP of Product Engineering, and VP of Product At Reward Gateway | Edenred, we are committed to ensuring an inclusive and accessible recruitment process for all candidates. If you have any specific requirements or need reasonable adjustments at any stage of the recruitment journey, please let your Talent Acquisition Partner know. Your needs are important to us, and we want to ensure an equitable experience for every candidate.

Backend Engineer (AI Platform) - London £80k–£100k + EMI equity About the Role We’re hiring a Backend Engineer to build the core infrastructure behind Revax’s AI-native platform for professional services. You’ll design, optimise, and scale the systems that power multi-agent drafting, knowledge graphs, and auditable AI workflows used by accountants, tax advisors, and consultants at leading firms. This is not a “ticket-taking” role -you’ll work directly with the founders, own critical backend services end-to-end, and help define how AI systems are built responsibly in regulated domains. If you enjoy designing clean APIs, scaling Python services, and building systems that actually ship to paying customers, this role is for you. Compensation: £80,000–£100,000 base + EMI equity Location: London About Revax Revax is building a new class of AI-native software for tax advisory firms. Today, professional services teams spend countless hours drafting, reviewing, and re-drafting work - constrained by fragmented knowledge, manual workflows, and brittle tooling. We turn a firm’s own expertise into structured, auditable, AI-powered systems that draft, analyse, and explain deliverables with full provenance. We’re a fast-moving, well-funded startup backed by leading angels, already working with major firms, and building at the intersection of AI agents, knowledge graphs, and real-world enterprise workflows. What You’ll DoBuild & own core backend systems · Build and optimise databases for complex, real-world data · Design and implement APIs using FastAPI for AI workflows and product features · Build and scale LangGraph-based multi-agent systems with checkpointing, retries, and observability · Integrate and scale vector search, knowledge graphs (Neo4j), and associated retrieval pipelines into production services · Deploy and operate GPU-backed services for AI workloads (e.g. inference, embeddings, or agent pipelines) in production Scale & operate production infrastructure · Deploy services on GCP (Cloud Run / GKE) or equivalent cloud infrastructure · Improve performance, reliability, and cost efficiency (latency, throughput, retries, backoffs) · Implement security-first patterns: auth flows, service-to-service auth, IAM, and access controls · Help prepare the platform for enterprise customers (SSO, auditability, compliance ready patterns) Collaborate closely with founders & product · Shape system architecture and API design alongside full-stack and ML engineers · Translate ambiguous product ideas into robust backend implementations · Iterate quickly based on real customer usage and feedback What We’re Looking For Essential · 2-3 years building backend systems for real users · Production experience with FastAPI (or similar modern Python frameworks) · Solid understanding of API design, PostgreSQL, and distributed systems fundamentals · Experience deploying and operating services on cloud infrastructure (GCP, AWS, and Azure) · High ownership mindset: you care deeply about reliability, correctness, and outcomes Strong Plus · Experience with LangGraph, RAG pipelines, vector databases, or knowledge graphs · Familiarity with Neo4j or graph-based data modelling · Experience working on AI-native or agentic systems · Comfort working in early-stage startups with ambiguity and speed · Experience deploying and working with GPU services for AI workloads Bonus · Exposure to professional services, finance, tax, or regulated workflows · You actively use modern AI coding tools (Cursor, Claude Code, etc.) · Strong instincts for developer experience and internal tooling Why Revax · Real ownership over core backend infrastructure · Work directly with founders on high-impact technical decisions · AI-native product with real customers and immediate feedback · Modern stack: Python, FastAPI, LangGraph, Postgres, Supabase, Neo4j, GCP · Meaningful early-stage equity: we hire owners, not passengers · A lean, low-ego, high drive team that ships fast and cares about their work Practical details · London based (strong preference for in office collaboration) · Visa sponsorship available

The Role You'll join the Pharosyn team as an early hire — directly shaping the entire software stack. We are hiring founding engineers with different strengths; you are not expected to be senior across all three domains. AI Engineering -⁠ ⁠Prompt engineering and LLM orchestration -⁠ ⁠Building evaluation frameworks and feedback loops -⁠ ⁠Deploying and operating AI systems reliably in production Data Engineering -⁠ ⁠Ingesting data from heterogeneous sources (APIs, RSS, web scraping) -⁠ ⁠Data modelling, pipelines, and transformation -⁠ ⁠PostgreSQL, vector databases, and medallion-style layering (raw → cleaned → served) Enterprise Infrastructure -⁠ ⁠Multi-tenant SaaS architecture -⁠ ⁠Cloud deployment -⁠ ⁠Security, authentication flows, and production reliability You should demonstrate applied excellence in at least one of these areas, with demonstrated interest across multiple. Core Engineering Philosophy We care deeply about leverage as an engineering principle. We want you to help us build the system that builds the system: -⁠ ⁠The development environment, tooling, and workflows that let a small team move extremely fast without breaking production -⁠ ⁠Tight feedback loops between customer usage, observability, evaluation, and execution (tests, CI, code review) -⁠ ⁠Early architectural choices that scale to a $100m+ product with a lean team -⁠ ⁠Treating developer productivity, reliability, and iteration speed as first-class product concerns You Must -⁠ ⁠Have demonstrated ability to build and ship real products (e.g., shipped SaaS, production pipelines, open-source with users, meaningful side project, startup experience) - show us what you’ve made -⁠ ⁠Have strong core engineering fundamentals and the ability to learn new languages quickly (our current stack includes TypeScript/React, Python, and PostgreSQL) -⁠ ⁠Already use AI coding tools (e.g. Cursor, Claude Code, Copilot) to materially increase output -⁠ ⁠Thrive being given problems and architecting solutions, not waiting for project specs — you should be the best person you know at architecting brilliant solutions to customer problems -⁠ ⁠Bonus points for experience in healthcare, biotech or regulatory data We are primarily targeting exceptional early-career engineers and unusually strong senior engineers who want real ownership at the earliest stage What We Offer -⁠ ⁠£100–130k base salary as a baseline, with flexibility for candidates who bring exceptional depth in one of our core domains. For outstanding senior engineers with relevant experience building and deploying complex systems with enterprise customers, we are open to going meaningfully higher. -⁠ ⁠Meaningful equity — this is a true founding engineer role -⁠ ⁠Direct collaboration with the founders on product and strategy -⁠ ⁠Travel to the US to work onsite with enterprise clients -⁠ ⁠The chance to define the technical culture and architecture of the company from first principles Expectations This is an early-stage startup in a competitive market. The work is demanding and fast-moving: -⁠ ⁠High commitment - this is not a typical 9–6 role. The pace is intense and sustained effort is expected, especially around customer delivery and critical deadlines. -⁠ ⁠Present in the London office (in-person, not remote) -⁠ ⁠High autonomy, high accountability -⁠ ⁠Speed and quality - speed is essential, compromise when necessary but don’t hide behind speed as an excuse for poor quality Values -⁠ ⁠Operational excellence - Move fast, maintain high standards, and take responsibility for the outcome. -⁠ ⁠Ownership - If it’s in your orbit, you own it end-to-end. -⁠ ⁠Intellectual honesty - Say what you think, challenge ideas openly -⁠ ⁠Practical problem-solving - Find a way forward, use the right tools, and ask for help when needed. -⁠ ⁠Continual learning - Keep getting better, update your skills, and adapt as the problem space evolves and transfer those learnings into the product.

Senior Software Engineer (Golang) Location: London - 4 days per week onsite UK Visa Sponsorship: Not possible About the Company: Our client is a thriving B2B FinTech with a market leading product aimed at selling infrastructure to Financial Services firms, transforming how consumers manage their money. This is a fantastic opportunity to join the engineering team during an exciting phase of development. About the Role: As part of the company's expansion, they are seeking a Software Engineer to take a key role in building their complex backend systems. The ideal candidate will have a strong background in Object Oriented Programming with at least 1 year commercially developing in Golang, and designing/implementing scalable, high performance services. The role will involve working closely with cross functional teams to enhance and rebuild critical applications to meet the evolving needs of the business. Responsibilities: • Design and develop robust, scalable, and secure backend services using Golang., • Implement containerised services using Docker to maintain consistency across various environments and simplify deployment processes., • Leverage AWS cloud services to build and maintain highly available and scalable applications while optimising for performance and cost., • Collaborate with cross-functional teams to integrate backend services with mobile and web frontend applications., • Ensure compliance with financial services regulations, working on solutions that meet the specific needs of the industry., • Maintain up to date knowledge of technology standards, industry trends, and emerging technologies, with a focus on engineering best practices., • Provide mentorship to junior engineers, guiding them through the adoption of Golang and related technologies., • Engage in the entire software development lifecycle, with a focus on coding, debugging, and delivering high-quality solutions. Required Skills: • Proven experience as a Developer, with hands-on expertise in designing and developing backend services., • Strong background in building scalable, high-performance systems using microservices architecture., • Experience with Docker and containerisation principles, with practical knowledge of deploying containerised applications., • Proficiency in AWS cloud services (e.g., ECS, S3, RDS, Lambda) and a solid understanding of cloud architecture., • Familiarity with event-driven systems and messaging frameworks (e.g., Kafka, RabbitMQ) is a plus., • Excellent problem-solving skills, with the ability to work in a dynamic and evolving environment., • Strong communication and collaboration abilities, with a focus on mentoring junior team members., • Knowledge of front-end technologies (e.g., React, SwiftUI, Kotlin) is advantageous. Nice to Have: • Experience in financial services or banking, with an understanding of industry-specific regulatory and compliance requirements., • Familiarity with DevOps practices, including continuous integration and deployment (CI/CD).

Full Stack Software Engineer – Digital Platforms Location: Osterley, London (hybrid – 3 days in office) Working Pattern: 45 hours per week, across 5 days Employment Type: Full-time About the Role Join a fast-moving media and technology environment where innovation and reliability are at the core of everything we build. This role offers the chance to develop high-performance applications that support widely used digital platforms, working at scale in a constantly evolving landscape. As a Full Stack Engineer, you’ll contribute to the design and delivery of robust, scalable solutions while collaborating closely with cross-functional teams. You’ll play an active role in shaping engineering practices and delivering features that meet both user and business needs. Key Responsibilities • Develop and maintain scalable, secure, and high-performing applications, • Collaborate with multidisciplinary teams, including editorial, product, and engineering colleagues, • Take ownership of features from concept through to deployment, • Contribute to technical decision-making and help improve development processes, • Work with stakeholders to gather and refine requirements for new features, • Promote best practices in coding, testing, and system design, • Identify opportunities to automate workflows and improve delivery efficiency, • Participate in Agile ceremonies such as sprint planning, estimation, and retrospectives, • Work across a varied and evolving technology stack Skills & Experience • Strong commercial experience with JavaScript, Node.js, and React, • Solid understanding of application architecture, including performance, scalability, and security considerations, • Experience delivering projects in fast-paced environments with tight deadlines, • Familiarity with CI/CD pipelines and tools used for automated builds and deployments, • Experience with containerisation technologies such as Docker, • Knowledge of testing frameworks and methodologies, including unit and end-to-end testing, • Exposure to cloud platforms such as AWS or Google Cloud, • Experience with NoSQL databases (e.g. MongoDB) is advantageous, • Understanding of Agile ways of working (Scrum, Kanban, Lean), • Bonus: experience with mapping or geospatial tools About the Team You’ll be part of a collaborative engineering team working within a live, content-driven environment. The team supports a range of digital and broadcast platforms, partnering with editorial and production colleagues to deliver technology solutions that power real-time content and storytelling. What’s on Offer • Competitive salary and pension scheme, • Private healthcare, • Discounts on entertainment, broadband, and mobile services, • Access to exclusive perks and experiences, • Opportunities for learning, growth, and career progression Working Approach This position follows a hybrid model, with a mix of office-based collaboration and remote working. Due to the nature of the role, the standard working week is 45 hours. Office Location Osterley, London: A well-connected campus offering a range of on-site facilities, including dining options, fitness amenities, and convenient transport links. Diversity & Inclusion We are committed to creating an inclusive workplace where everyone can thrive. Applications are welcomed from individuals of all backgrounds, and support or adjustments are available throughout the recruitment process where required.

The Problem Every major enterprise procurement deal - a mining company locking in steel supply, a manufacturer negotiating energy contracts, a retailer securing food commodities - lives or dies on one question: what will this cost six months from now? Today, that question is answered with spreadsheets, gut instinct, and analyst reports written days after markets have already moved. Billions of dollars in value are left on the table - or surrendered across the negotiating table - because procurement teams are flying blind on price. At Monq, we're building AI agents that negotiate high-value enterprise contracts - and we're expanding what that platform can do. The next frontier is price intelligence: giving procurement teams the foresight to know what a deal should cost before they even sit down to negotiate. That's what you'll build. What You'll Build This is genuinely 0-to-1. There is no existing model, no data pipeline, no baseline to iterate on. You're starting from a blank sheet - which means you'll need to be comfortable with ambiguity, scrappy about data sourcing, and confident making architectural decisions without a committee to approve them. In return, everything you build will matter immediately, and you'll own it completely. Concretely, you will: • Build multivariate commodity price prediction models from scratch. You'll work across energy, metals, agricultural inputs, and industrial materials — constructing models that capture the full complexity of cross-commodity dependencies, supply chain dynamics, macroeconomic signals, and geopolitical risk. This isn't univariate time series. This is structured, high-dimensional, real-world forecasting at a level that actually moves enterprise decisions., • Own the full modelling lifecycle. Feature engineering, model selection, validation strategy, uncertainty quantification, production deployment. You'll make the calls and live with the results - which means you'll learn fast., • Design forecasting architectures that go beyond the obvious. We're not looking for someone who fits an ARIMA model and calls it done. We want someone who knows when to reach for Gaussian processes, gradient-boosted ensembles, neural state-space models, or hybrid symbolic-statistical approaches - and, critically, knows why., • Integrate alternative data sources. Satellite imagery, shipping data, weather signals, procurement index feeds, news sentiment — the edge is often in the signal no one else has thought to use. You'll identify and incorporate these into production-grade pipelines., • Shape how predictions become decisions. The end goal is for your models to inform what Monq recommends inside live procurement negotiations. Getting there requires working closely with product and engineering - translating probabilistic outputs into something a procurement professional can act on in the moment, not just admire in a dashboard., • Bridge research and engineering to ship production-grade systems. You won't be throwing models over the fence. You'll work in close collaboration with our engineering team to take research from notebook to production - defining clean interfaces, writing model-serving code that engineers can build on, and making sure what you've validated in a research context actually holds up in a live enterprise environment. The expectation is that your work ships, not just publishes. You Might Be a Fit If • You have 6+ years of experience in applied data science or quantitative research, with a strong track record in forecasting or time series modelling in production environments (an ongoing PhD or track record of research would be wonderful to have), • You've worked on commodity, energy, or financial market price prediction - you understand basis risk, seasonality, mean-reversion, and regime shifts intuitively, • You're fluent in multivariate modelling: VAR/VECM, Bayesian hierarchical models, factor models, LSTM/transformer-based temporal architectures - and you can speak clearly to the tradeoffs between them, • You're rigorous about uncertainty. You know the difference between epistemic and aleatoric uncertainty, and you build that distinction into how you communicate predictions to stakeholders, • You're comfortable working with messy, heterogeneous, real-world data — incomplete time series, mixed frequencies, structural breaks, and sources that require significant wrangling before they're useful, • You can write production-quality Python and know how to deploy models in a way that engineers can actually build on, • You care about impact, not just accuracy metrics. A model that moves a negotiation outcome is worth more than one that wins a Kaggle leaderboard Nice to Have • Experience with causal inference methods applied to market dynamics (synthetic control, difference-in-differences, IV), • Familiarity with procurement indices (PPI, ISM, commodity spot/futures markets) and how to incorporate forward curve data, • Experience building real-time or near-real-time inference pipelines at scale, • Background in operations research or supply chain optimisation, • Exposure to LLMs as signal sources — extracting structured market intelligence from unstructured text ML Skills We're Looking For This role sits at the intersection of classical econometrics and modern machine learning. You don't need to be a world-class expert in every area below - but you should be genuinely strong across most of them and honest about where you want to grow. • Supervised & Ensemble Methods. Gradient-boosted trees (XGBoost, LightGBM, CatBoost) for tabular forecasting; understanding of when tree-based models outperform neural approaches on structured data, and vice versa. Strong intuition for regularisation, hyperparameter tuning, and avoiding leakage in time series cross-validation., • Deep Learning for Sequences. Hands-on experience with temporal architectures - LSTMs, GRUs, Temporal Fusion Transformers, N-BEATS, or similar. Understanding of attention mechanisms and when transformer-based sequence models are worth the complexity cost over simpler recurrent approaches., • Probabilistic & Bayesian Modelling. Comfort with probabilistic forecasting: quantile regression, conformal prediction, Monte Carlo dropout, or full Bayesian inference via PyMC or NumPyro. The ability to communicate uncertainty intervals credibly to non-technical stakeholders is as important as computing them correctly., • Feature Engineering at Scale. Lag features, rolling statistics, Fourier transforms for seasonality decomposition, target encoding with temporal leakage guards, embeddings for categorical market variables. You understand that the quality of your features usually matters more than the choice of model., • Model Evaluation & Validation. Walk-forward validation, purged k-fold cross-validation, backtesting under realistic execution constraints. You know why naive train/test splits are dangerous in time series and what to do about it., • MLOps & Productionisation. Experience taking models from notebook to production: experiment tracking (MLflow, W&B), model versioning, feature stores, drift detection, and retraining triggers. You can build a model that doesn't just work once - it works reliably over time as markets evolve., • Explainability & Interpretability. SHAP values, partial dependence plots, and the ability to explain model behaviour to procurement professionals who need to trust and act on predictions. Black-box accuracy means nothing if the model can't be interrogated when it's wrong. The Stack You'll have significant input into tooling choices: experiment tracking, feature stores, deployment infrastructure. We have strong engineering support and ship on AWS, but we're building the MLOps layer on the go and you'll help define it. We use AI coding tools - Cursor and Claude Code - as part of the daily workflow, not as a novelty. Why This Is a Rare Opportunity Most data science roles hand you a well-defined problem with existing pipelines and ask you to improve on a baseline. This one doesn't. There is no baseline. You'll spend real time figuring out what data is available, what's worth acquiring, and what's even feasible to predict - before writing a single model. That's harder than most JDs admit. But it also means your decisions have a direct and permanent impact on the direction of the feature we are developing. The procurement market is a $4.2 trillion opportunity that existing AI solutions have almost entirely ignored. If you can build something that genuinely predicts commodity price movements - even imperfectly, even partially - it changes what Monq can offer enterprise customers and how we compete. This is the kind of problem that a good data scientist can spend years on and still find interesting. About Monq Monq is building the first AI platform purpose-built for strategic procurement negotiation. We're early-stage and moving fast — backed by executives from Revolut and HSBC, working with enterprise customers, and actively building the team that will define what this product becomes. We're a small, flat team. We use AI tools not as a novelty but because they make us better and faster. We value simplicity, ownership, and shipping — and we're looking for people who hold themselves to high standards while staying pragmatic about what matters right now. Equal Opportunities Monq is committed to creating a diverse and inclusive workplace and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender reassignment, marital or civil partnership status, age, disability, pregnancy or maternity, or any other basis as protected by the Equality Act 2010. We actively encourage applications from people with diverse backgrounds and experiences. For accommodations during the recruitment process, please contact .

🚀 Senior Backend Engineer (Python) – AI Platform | High-Growth FinTech - £500 Outside IR35 We’re partnering with a rapidly scaling AI company transforming global debt markets. Their platform centralises proprietary credit data, deep analysis and high-value workflows for 300+ leading financial institutions worldwide. With strong product-market fit and rapid international expansion, they’re hiring a Senior Backend (Python) Engineer to take technical ownership across high-impact projects. What You’ll Do • Lead system design and deliver scalable backend services, • Build and evolve APIs, data processing pipelines and automation, • Mentor engineers and run code reviews, • Collaborate closely with Product and cross-functional domain experts, • Continuously improve performance, quality and developer experience What We’re Looking For • Strong Python (Flask moving to FastAPI with Typing) backend experience, • Proven experience building APIs within service-oriented architectures, • Solid SQL knowledge, • PostgreSQL, • AWS (Lambda, ECS), • Docker, • Strong system design and data flow thinking, • Collaborative mindset with high coding standards What’s On Offer • Top-of-market salary, • Pension matched up to 7%, • Private medical + income protection, • 25 days holiday + hybrid working, • Work abroad up to 3 months per year, • Learning & development budget If you’re interested in joining a high-growth AI business reshaping global financial infrastructure, apply or message me directly.

Backend Golang Developer | London | 75k-85k | 3x a week on-site | Are you a Backend Engineer who loves solving complex technical problems and building systems that actually matter? We’re looking for someone who wants to work on high‑availability, secure, global financial infrastructure powering millions of users. You’ll work across modern backend architecture, building services that are fast, resilient, secure and built to scale , all while collaborating closely with product, mobile, and frontend teams. What You’ll Work On • Designing and improving backend services that power web + mobile applications, • Building and maintaining high‑performance APIs and distributed microservices, • Solving problems around scalability, reliability, security, and automation, • Working with modern API protocols including GraphQL and gRPC, • Enhancing the platform that connects both traditional and on‑chain financial services Must‑have experience: • Strong backend engineering background with deep coding experience, • Professional experience with JavaScript/TypeScript (Node.js) and/or Golang, • Solid understanding of microservices, event‑driven systems & distributed architecture, • Strong knowledge of PostgreSQL and/or Redis, • Understanding of web semantics, API design & backend web standards, • Proficiency with Git and version control workflows, • Experience with CI/CD, build automation and modern engineering pipelines, • Excellent communication skills & ability to work cross‑functionally Bonus experience: • Building APIs for high‑scale consumer or B2B products, • Working with message queues like Kafka, RabbitMQ, NSQ, or Pulsar, • Integrating external APIs/services, • Performance optimisation & working under performance budgets, • Interest or experience in cryptocurrencies, Web3, or digital assets, • Open‑source contributions or tech blogs/talks Why apply? • Work on real financial infrastructure, not internal tooling, • Engineering‑driven culture focused on quality, maintainability, and performance, • Build systems used globally by both consumers & businesses, • Ownership, autonomy, and genuine influence on technical decisions, • Join a team pushing boundaries in modern payments + on‑chain services If you’re excited about backend engineering, real‑world scale, and modern financial technology, we’d love to speak with you.

Senior Software Engineer Key Technologies: C#, .NET, React, JavaScript, Typescript, AWS, Docker City of London, United Kingdom Perm Role: £80,000 - £120,000 Harrington Starr has partnered with a Global Financial Services Vendor and they are looking for a Senior C#, .NET Software Engineer to join their growing team! This role provides the perfect opportunity to launch your career in a well-established, dynamic environment. This role requires someone with expert knowledge and experience building front office systems. Key responsibilities: • Immediate contribution to design, coding, and testing of modern web applications., • Design and development of applications used both internally and externally., • Consistently suggesting and implementing new and innovative ideas., • Build meaningful relationships quickly and effectively, collaborating with insight and agility. Benefits: • Fully funded learning and certifications., • Private medical insurance., • Pension scheme., • Hybrid working in Central London., • Excellent salary base of up to £120,000 based on experience. Key skills, experience and qualifications required: • Excellent knowledge and experience with C#, .NET and React., • Strong experience with TypeScript/JavaScript., • Experience with cloud technology – specifically AWS., • Knowledge of TDD/BDD., • Excellent communication skills., • Unrestricted right to work in the UK. This role offers hybrid working, with an office location based in the City of London. This role will suit a Senior Software Engineer, with expert C#, .NET experience having a direct impact from the get-go.

Founding Engineer | TypeScript, Python & AI Systems | Building AI Infrastructure for Pharma Salary: £100-130k Location: Hoxton The Role You will join as a Founding Engineer in a seed-stage AI startup building systems that transform how the pharmaceutical industry processes critical information. You will help design and build the core platform that ingests global pharma data, applies AI reasoning, and turns raw information into actionable insight and automated workflows for enterprise customers. Working directly with the founders, you will shape the architecture, infrastructure, and engineering culture from day one while building a product designed to scale into a major enterprise platform. What They’re Looking For • TypeScript development, • React frontend development, • Python development, • PostgreSQL database architecture, • LLM orchestration and prompt engineering, • Data ingestion pipelines including APIs, RSS feeds, and web scraping, • Vector databases and modern AI data pipelines, • Cloud infrastructure and SaaS deployment, • Observability, testing frameworks, and CI pipelines, • Proven ability shipping real products such as SaaS platforms, production data pipelines, open-source tools with users, or meaningful side projects, • Strong engineering fundamentals and ability to learn new technologies quickly, • AI coding tools including Cursor, Copilot, Claude Code, or similar Nice to Haves • Healthcare or pharmaceutical data systems, • Biotech or regulatory data experience, • Multi-tenant SaaS architecture, • Enterprise platform deployments, • Data modelling and medallion-style data pipelines, • Security architecture and authentication systems Why Join / Projects You will help build AI systems that continuously monitor global pharmaceutical data sources including regulators, clinical trials, patents, and financial disclosures. The platform turns this information into actionable intelligence and automated workflows for enterprise customers. Instead of teams manually reading filings and reports, the system detects and explains what matters in real time. The founding team combines advanced AI research, pharmaceutical modelling expertise, and experience building data platforms used by major hedge funds. The company is already working closely with enterprise customers and is building a product designed to scale quickly. You will help define the engineering culture, architecture, and technical standards from the earliest stage while building a platform capable of scaling into a major enterprise product. Employee Benefits • £100,000 to £130,000 base salary, • Meaningful founding engineer equity, • Direct collaboration with founders on product and strategy, • Travel to the United States to work with enterprise clients, • Real ownership of product architecture and engineering culture, • London office working alongside a highly ambitious founding team Founding Engineer | TypeScript, Python & AI Systems | Building AI Infrastructure for Pharma

Full Stack Software Engineer – Industrial Systems / Factory Operating Platform We are currently partnered with a rapidly scaling deep tech company transforming industrial manufacturing through distributed, software-defined factories. With operations already live across the UK, they are expanding quickly and looking to grow their engineering team with a Full Stack Software Engineer to help build their proprietary factory operating system. This role is full time on site Key responsibilities • Architect, design, and develop core systems powering factory automation, real-time data processing, and user-facing applications, • Own full-stack development across infrastructure, backend services, frontend/UX, and real-time monitoring systems, • Work closely with leadership and on-site factory teams to identify operational bottlenecks and translate them into high-impact software solutions, • Rapidly deploy and iterate software directly within live production environments Key requirements • Bachelor’s degree in Computer Science, Engineering, or a related field, • Experience in full stack software engineering, • Strong coding ability across backend and frontend technologies, with a preference for strong UX/front-end experience, • Experience building and scaling complex systems in production environments, • Ability to operate independently with high ownership in fast-paced, ambiguous settings Keywords: Full Stack / Backend / Frontend / UX / Distributed Systems / Real-Time Data / Factory Automation / Industrial Software / Infrastructure / Machine Learning / Monitoring Systems / High Reliability / Production Systems / Manufacturing Technology If you are interested in this position, please send a CV to By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ___

Java Software Development Engineer in Test - FinTech - Java Remote (UK) | £80 - 90k Our client a cutting-edge fintech business is looking for a Software Development Engineer in Test (Java SDET) to strengthen their automated testing framework and drive software quality to the highest standards. This is a great opportunity for someone passionate about automation, exploratory testing, and collaborating with experienced developers in a dynamic environment. Duties: • Expand and improve automated acceptance / end-to-end tests, • Conduct exploratory testing to uncover edge cases and ensure robustness, • Pair with developers to enhance testing infrastructure for continuous delivery, • Proactively identify areas for improvement in software quality Essential Experience: • Strong Object-Oriented Programming in Java, • Java must be your primary language you have a proven background with, • Proven background as an SDET, • Component testing, end-to-end testing & failure scenario testing, • Exploratory testing Desirable Experience: • Continuous Delivery & CI/CD environments, • API & UI Testing (Selenium), • Event-driven systems & messaging protocols, • Extreme Programming & Pair Programming, • Performance / Low Latency experience, • Low Level coding What We are Looking For: Strong communication skills – comfortable engaging with technical & non-technical teams Inquisitive mindset – you enjoy finding ways to "break" software Proactive & self-driven – you shape your role and seek improvements Adaptable – able to pivot with changing priorities and requirements No sponsorship provided.

Senior Lead Engineer – GCP Data Platforms & DevEx Lead Location: London - Hybrid Rate: up to £700 per day inside IR35 We’re seeking a hands-on Senior engineering lead to design and deliver high-volume financial data pipelines on Google Cloud Platform (GCP) while improving the Developer Experience (DevEx). This is a pivotal role bridging complex data architecture and high-velocity engineering, ensuring our platforms remain secure, observable, and robust. What You’ll Do • Lead technical architecture and hands-on engineering across batch data pipelines (BigQuery, Dataproc, Cloud Storage), • Own Developer Experience (DevEx): automate environments, refine CI/CD pipelines, and reduce friction for engineering teams, • Build and optimize CI/CD pipelines using GitHub Actions, • Implement Infrastructure-as-Code (Terraform) for secure, scalable cloud environments, • Integrate database change management tools like Liquibase into automated pipelines, • Apply DevSecOps best practices across the lifecycle: static analysis, dependency scanning, and secure credential management, • Ensure observability, monitoring, and performance using GCP Operations Suite or New Relic, • Mentor engineers and collaborate across global, distributed teams What We’re Looking For • Proven experience in Lead Engineer, DevOps, or SRE roles with technical leadership, • Expert-level CI/CD automation and pipeline optimization, • Strong GCP expertise: BigQuery, Dataproc, Cloud Composer, • Deep data architecture and engineering knowledge: Spark, DBT, Oracle, BigQuery, • Experience designing scalable architectures (Microservices, Monoliths, Batch), • Skilled in observability, monitoring, and DevSecOps integration, • Excellent communication with a record of collaborating globally Why You’ll Love It • Combine architecture, coding, and leadership in one role, • Influence the Developer Experience for a large engineering team, • Work on high-impact financial data systems, • Drive innovation in GCP cloud infrastructure and automated pipelines Apply now to shape the future of financial data processing and developer productivity!

Role: Principal Engineer / Tech Lead (Backend) Salary range: 100-120k Location: Central London (x2 days per week onsite - Tues & Thurs) Tech stack includes: TypeScript, React, AWS Lambda, TypeScript, Node.js, PostgreSQL. Current team size: x6 Engineers + Head of Engineering We're working with a SaaS startup company in the hospitality space, software that helps restaurant and hospitality brands help with things such as manage their menus, pricing and food data across all their locations. Instead of updating spreadsheets or manually changing menus site-by-site, they give operators one central system to control everything properly and instantly. As Principal Engineer, this is purely an IC role (no management), responsibilities would include: • Hands on coding (heavily focussing on backend), • Technical point of contact for the team, • Mentoring the more junior members Essentials for this role: • Startup experience (early stage / scaleup phase), • Strong hands on Backend/Typescript/SQL experience, • Proven track record of delivering complex technical projects Bonus: • Consultancy background, • Experience with Serverless architectures and AWS No sponsorship available sorry!

Senior Python DevOps Engineer – RevTech - Python, AWS, Kubernetes, Terraform, CI/CD Oliver Bernard are currently working with a RevTech start-up who are looking to take on a Senior Level Python Software DevOps Engineer as part of current expansion plans across their tech team. The incoming engineer will work in the broader Software Engineering team, and work closely with a team of developers whilst being responsible for the implementation of infrastructure across the software function. To be considered, the following experience is required: • Strong Python Software Engineering background (coding responsibilities taker up ~60-70% of day to day responsibilities), • Cloud experience with AWS & AWS services, • Containerisation / Orchestration with Docker and Kubernetes, • Extensive experience building and managing CI/CD pipelines (with Jenkins, GitLab or CircleCI), • IaC with Terraform, alongside Automation with Ansible, • Prior experience in a Senior or Lead capacity This position is able to offer £70-90K (plus benefits) for the right profile, and operates a hybrid working model in London (2-3 office days p/week). Senior Python DevOps Engineer – RevTech - Python, AWS, Kubernetes, Terraform, CI/CD

Role: Senior Python Developer Location: London, hybrid (in-office 3x weekly) Data Platform — Architecture & Infrastructure Lead ABOUT INFOBEL PRO InfobelPro is a leading provider of B2B company data and points-of-interest intelligence. Our platform ingests, deduplicates, enriches, and cross-references company information from over a dozen authoritative sources — spanning national business registries, commercial data providers, open geographic datasets, and professional networks — to serve millions of entity records to customers via API, filtered queries, and bulk exports. We are building an entirely new data platform from the ground up. This is not a migration of legacy code into a new framework — it is a clean-sheet architecture designed to process billions of raw records into a unified, entity-resolved dataset that is accurate, auditable, and GDPR-compliant by design. The platform is built on a deliberately modern, open-source stack: Dagster for orchestration, DuckDB for processing, ClickHouse for serving, Splink for entity resolution, and FastAPI for the customer-facing layer. Everything runs on bare-metal servers (Hetzner) with infrastructure managed through Ansible — no cloud lock-in, no managed services, no abstraction layers between the team and the hardware. ABOUT THE ROLE You will be the technical lead of a three-person team building InfobelPro’s next-generation data platform from a blank repository. This is not a role where you inherit someone else’s architecture and maintain it, you will design the schema, lay the infrastructure, choose the patterns, and set the engineering culture that two junior developers will grow into. The platform processes billions of records from diverse sources, resolves them into a unified entity graph, and serves them at low latency to customers who depend on the data for critical business decisions. You will own all of it: the pipeline that transforms raw files into enriched entities, the ClickHouse schema that serves them, the infrastructure that keeps it running, and the GDPR compliance layer that keeps it legal. This is a high-autonomy role. You will report directly to the CTO and make architectural decisions with real consequences. The right candidate is someone who has previously owned a data pipeline end-to-end in production — including the infrastructure it runs on — and understands that the hardest problems are not algorithmic but operational: keeping a system reliable when data sources change format at midnight, pipelines fail silently, and disk fills up on a Friday. WHAT YOU WILL DO • Design and implement the ClickHouse schema for the entity-centric data model — companies, POIs, persons, addresses — optimised for three access patterns: point lookups, filtered analytical queries, and bulk exports., • Build and operate the infrastructure: provision and configure Hetzner bare metal servers using Ansible, manage the ClickHouse cluster (3 replicas + processing node + hot spare), configure networking, firewalls, and SSH access., • Architect the Dagster pipeline: define the asset graph, set up partitioning for monthly source ingestion, implement retry and backfill strategies, and establish the patterns that junior developers will follow for every new data source., • Own entity resolution: configure and tune Splink for probabilistic matching across company records from different sources. Define blocking rules, comparison functions, and match thresholds. This requires judgment — balancing precision against recall for datasets with hundreds of millions of records., • Implement the GDPR compliance layer: amendment tables, query-time filtering for erasure/rectification/restriction, immutable audit logging, and 7-year retention on tamper-proof backup storage., • Set up monitoring and alerting: Grafana dashboards for infrastructure health, pipeline status, and data quality trends. Prometheus for server metrics. Pydantic Logfire for data validation. On-call response when something breaks., • Design the backup and disaster recovery strategy: rclone-based backups to R2 and Hetzner Storage Box, tested recovery procedures, and documented runbooks., • Mentor two junior developers: conduct code reviews, pair on complex problems, design onboarding tasks that build real competence, and create a team culture where people ship with confidence., • Architect the AI enrichment layer (Phase 3): design the agent framework, define the multi-tier model strategy (cheap bulk models for gap-filling, frontier models for diagnostics), implement token budget caps and ROI tracking per task type., • Use AI coding tools as a force multiplier. We use tools like Claude Code and Cursor daily and we are actively pushing towards multi-agent workflows — orchestrating parallel AI sessions to scaffold connectors, generate tests, and prototype solutions simultaneously. You will be expected to adopt this way of working and help the team get better at it. WHAT WE ARE LOOKING FOR Required • 8+ years of professional software development experience, primarily in Python., • You have owned a data pipeline in production end-to-end — from ingestion through transformation to serving — and you were responsible for keeping it running, not just writing the initial code., • Strong infrastructure skills: you are comfortable with Linux server administration, Ansible (or equivalent IaC), networking fundamentals (firewall rules, SSH tunnels, VPN/vSwitch configuration), and diagnosing production issues from logs and metrics., • Deep SQL knowledge and experience with analytical/columnar databases. ClickHouse experience is a significant plus; experience with any OLAP system (BigQuery, Redshift, DuckDB, Druid) translates well., • Experience designing data models for large-scale analytical workloads — you understand denormalisation trade-offs, partitioning strategies, and why the entity model matters more than the engine., • You have mentored junior developers before and believe that a well-structured codebase and clear task scoping are more valuable than heroic individual effort., • You use AI-assisted development tools (Claude Code, Cursor, GitHub Copilot, or equivalent) as part of your daily workflow — not as a novelty, but as a core part of how you write and ship code. You should be comfortable prompting AI agents, evaluating their output critically, and knowing when AI-generated code needs manual correction. We will ask you to demonstrate this during the hiring process., • Comfort with ambiguity. This is a ground-up build. There is no existing architecture to reference, no established patterns to follow. You will define both. Interview Process: • Complete a short Google Form with questions related to the role, • Initial touchpoint with the recruiter to align on role expectations and key requirements, • Take-home assessment, • Technical interview with the CTO, • Final alignment conversation with the CEO Strong Pluses • Experience with ClickHouse in production (schema design, ReplacingMergeTree, cluster management, query optimisation)., • Experience with probabilistic entity resolution or record linkage (Splink, Dedupe, Zingg, or custom implementations)., • Familiarity with Dagster, Airflow, Prefect, or similar orchestration frameworks., • Experience with DuckDB or other embedded analytical engines., • Background in B2B data, company data, or master data management., • Experience with GDPR compliance in data platforms (erasure, rectification, audit trails)., • Experience orchestrating multi-agent AI development workflows — running concurrent Claude Code or Codex sessions, delegating parallelisable tasks to agents, and integrating results into a coherent codebase. If you are already doing this, you will fit right in., • Experience building custom AI agent pipelines for data tasks — not just chat interfaces, but structured LLM workflows for data extraction, classification, or enrichment with programmatic validation.

Nominal is tackling a challenge where others have fallen short: providing hardware engineering teams with a single, real-time workspace that unifies all their data. Their platform enables engineers to validate hardware in minutes instead of weeks without sacrificing safety or precision. Since launching in 2022, Nominal has established itself as a mission-critical resource for some of the most important organisations and companies in the world. Following a $75M Series B led by Sequoia in June, they've just announced an additional $80m funding at $1bn valuation led by Founders Fund. They are currently building a team in London to serve their rapidly growing list of customers in the region. One of the first pivotal London hires is the Mission Dev. This is a forward deployed software engineering role with an embedded-with-customer edge. You’ll contribute to product development, integrate complex data, build custom tools, and work shoulder-to-shoulder with customers to enable them to accomplish their goals in the product. An FDE's success is measured by customer outcomes. Position Location: London Job Description As a Mission Dev you will be a pivotal force, directly applying your technical expertise to ensure the company’s customers succeed with the platform and achieve their mission objectives. You’ll be responsible for everything from understanding core user needs to writing code for data integrations and custom applications. This position requires you to think like a startup cofounder or an early-stage CTO. You’ll dive into ambiguous problem spaces, own solutions end-to-end, and iterate rapidly to deliver impactful results. You exist to enable the company’s customers to unlock previously impossible levels of performance. Primary Responsibilities • Building and deploying custom applications, scripts, and extensions to meet specific customer requirements., • Designing and implementing resilient data pipelines and integration workflows to connect diverse customer systems with the company’s offerings., • Working closely with the Sales and Mission Ops teams to ensure seamless customer handoffs, providing deep technical expertise during pre-sales conversations, and scoping customer engagements effectively., • Gathering customer feedback and insights from the field to inform product development, influencing the company’s roadmap, and improving their offerings., • Contributing to hiring by sourcing, interviewing, and onboarding new engineers. Requirements: • 3-6+ years of experience designing, building, and shipping software in fast-changing or ambiguous environments., • Excellent problem-solving and analytical skills with a proactive, “get things done” mindset., • A customer-centric approach and genuine passion for solving real-world problems with technology., • Excitement to be an early, foundational member of the team building software tools for exceptional hardware engineering teams., • Ability and willingness to travel up to 25–50% to spend time with end users on-site (e.g., rocket test stands, spacecraft clean rooms, automated manufacturing facilities)., • Active or eligibility to obtain security clearance (UK SC/DV) is a bonus. Compensation and benefits • £115K - £135K base salary + Equity, • Flexible annual leave, • Enhanced parental leave, • Budgets for:, • WFH, • Professional Growth & Development, • Meals when travelling, • Lunch covered when working from London office, • Private health insurance through Bupa, • Pension Program 3% company contribution, • Monthly mobile phone reimbursement Interview process: • Initial Screen, • Live Coding Interview, • Behavioural Interview, • Technical & Conceptual Interviews - NYC or London Office - Full Day, • Founder interview

Reward Gateway | Edenred is a global leader in benefits and employee engagement. We help businesses attract, engage, and retain top talent through strategic rewards, recognition, and well-being solutions. Guided by our shared missions of ‘Making the World a Better Place to Work’ and ‘Enriching Connections, For Good’, we are committed to transforming workplaces and improving people’s daily lives. Due to continued business growth, we are looking for a Lead AI Engineer who will report to the Director of AI Engineering. This role will be a subject matter expert for applied AI within our Engineering organisation. This role suits a hands‑on team lead who builds and ships customer‑facing, production‑grade AI, solving complex problems, shaping long‑term strategy, and rolling up their sleeves to help teams adopt practical, reliable AI every day. You will architect and build production-ready AI systems, guide technical decision-making, and ensure we deliver meaningful products for our clients and employees. Key Responsibilities • Architect, build, and ship production-grade AI / Generative AI products using LLMs, RAG, agents, strong context strategies, and responsible guardrails., • Lead a small team (initially 2 AI engineers) and scale it; partner with Product using a working backwards mindset; set objectives, run Agile/Scrum, coach, and make fast, high-quality decisions., • Drive 10x productivity with AI agents and AI coding assistants while maintaining high standards for code quality, testing, reviews, and observability, taking full ownership of AI outcomes., • Evolve POCs into measurable solutions with clear metrics, A/B tests, online evaluation, and lightweight models., • Own end-to-end workflows: data pipelines, evaluation and benchmarking, instrumentation, human-in-the-loop validation, and compliance., • Operate on AWS and Kubernetes with CI/CD, infrastructure as code, monitoring, performance, and cost control., • Make pragmatic choices, including LLMs, prompting vs fine-tuning, embeddings and vector search, hybrid search; ensure privacy, PII protection, and enterprise controls. Skills, Knowledge and Expertise • Hands‑on leader who has built and shipped production AI and full‑stack systems., • Python first; testing and CI/CD; fluent with AI coding assistants (Cursor, Copilot, Claude Code) and accountable for outcomes, • Applied LLMs: Claude or similar; RAG, agents, prompt engineering; embeddings + vector DBs; hybrid search; evaluation/benchmarking, • Data engineering: ETL; SQL/NoSQL design; data sourcing/ingestion with governance and quality, • Cloud/platform: AWS, Kubernetes, Docker; infrastructure as code; observability, • Advanced retrieval/reranking and context/chunking strategies; offline/online evaluation frameworks, • ML data lifecycle: feature engineering; train/val/test splits; dataset versioning; pipeline orchestration; production monitoring for drift/quality, • Ability to contribute to React, TypeScript, and PHP codebases, • Cost and performance at scale: model routing, caching, token/latency budgets; SLOs (e.g., p95 latency, availability) The Interview Process • Online interview with the Talent Partner and the Director of AI Engineering, • Technical interview with Director of AI Engineering, VP of Product Engineering, and VP of Product At Reward Gateway | Edenred, we are committed to ensuring an inclusive and accessible recruitment process for all candidates. If you have any specific requirements or need reasonable adjustments at any stage of the recruitment journey, please let your Talent Acquisition Partner know. Your needs are important to us, and we want to ensure an equitable experience for every candidate.

Benefits • 9% pension contribution, • Stock Options, • Health Insurance etc This is your chance to perform the job you love and make a difference in society whilst doing it! Help this one-of-a-kind Social Good platform change the world by developing this one-of-a-kind eCommerce solution. The Company • $120m VC-backed Scale-Up, • One of the fastest-growing companies in the world, • 'Fast Company' Most Innovative Company, • Raised £400m+ for charity worldwide, • Human-centric business, • Caring Culture – good people doing good for the world The Role • Work cross-functionally with software engineering and Product to bring this platform to life., • Help architect, design, and implement well-tested new product features., • This role isn't just about coding; it's about influencing product and business impact. Desired Skills & Experience • Backend JavaScript / TypeScript / Node.js software engineering experience, • SASS, DynamoDB, AWS Lambda, and Serverless Framework are all beneficial, • eCommerce / Shopify experience is a bonus

Senior Platform Engineer (DevEx) – GCP, Kubernetes, Terraform, CI/CD, Python Oliver Bernard are currently seeking a strong, Senior Platform Engineer (from a Software Engineering background) to join a client of ours on a digital transformation orientated project. Existing plans are focused on embracing Cloud Native, removing a lot of bespoke engineering from their environment, optimising processes, and advocating for DevEx / Dev enablement throughout. The existing Platform team consists of four engineers who work closely with engineering day to day, and are responsible for scaling their practices across Cloud, Containers, and IaC technologies, whilst driving best practices from a broader engineering perspective across Infrastructure. This is a remote first role, and requires the following hands-on experience to be considered: • Strong Cloud experience with GCP (at least 3-4 years), • Containerisation / Orchestration with Kubernetes (+ Helm), • IaC with Terraform, alongside Automation with Ansible, • Prior work across CI/CD, Monitoring and Observability, • Comfortable coding with an OO language (ideally Python or Java), • Prior experience in a Senior capacity This position is a remote first opening (with office visits only required quarterly for team days) and can offer £75-85K for the right profile. Senior Platform Engineer (DevEx) – GCP, Kubernetes, Terraform, CI/CD, Python

Do you want to build predictive models that explain real-world patient behaviour at population scale? Have you worked with Python and Databricks to develop and optimise production ML systems? Are you ready to join a fast-moving AI team where you can shape a core data product? About the company We’re partnering with a fast-growing, London-based behavioural healthcare AI company building large-scale data products to understand what drives patient behaviour. Their core platform combines behavioural science and machine learning to deliver insights used by pharmaceutical organisations across clinical trials and commercial strategy. The team is ~40 globally, operating in a highly collaborative, startup environment with strong technical leadership and real-world impact. The role They’re hiring a Senior Data Scientist to work on their flagship product, focused on predicting patient behaviour at scale. You’ll play a key role in developing and optimising machine learning models, integrating new datasets, and ensuring models are robust, explainable, and production-ready. This is a hands-on role with real ownership, working closely with engineers, behavioural scientists, and product teams. Key responsibilities • Build and optimise predictive ML models using Python and Databricks, • Lead development of scalable modelling pipelines and data workflows, • Integrate new data sources (including behavioural and geospatial data), • Validate models for performance, fairness, and real-world applicability, • Collaborate with product and engineering teams to deliver production-ready solutions, • Contribute to LLM-assisted development workflows Key details • Salary: £80k–£95k base, • Bonus: ~10%, • Equity: ISOs included, • Working model: Hybrid (2 days/week in Holborn – Mon & Thu), • Tech stack: Python, Databricks, ML pipelines, LLM-assisted coding, • Visa sponsorship: Not available Interested? Please apply below.

About us: At Diligent, we are on a mission to help fintechs and banks automate and enhance Anti-Money Laundering operations with AI agents. Leading banks and payment companies use us to automate risk investigations they run when onboarding and monitoring business customers in Europe, Middle East, USA and Asia. Our founders have built fraud and credit risk models protecting billions in transactions at Europe’s top fintechs, and we’re taking that experience to revolutionize how financial institutions verify the legitimacy of businesses. With deep expertise in AI-driven risk assessment, we turn unstructured data into powerful insights, helping our customers automate manual reviews, strengthen fraud detection, and improve the onboarding experience for legitimate businesses. We already work with leading fintech unicorns and banks, are growing fast and we’re looking for ambitious problem-solvers who are excited about using AI to tackle financial crime at a global scale. If you're passionate about making a real impact in the fight against fraud, we’d love to have you on our team! 🚀 More on us here: Launch YC: Diligent - GenAI assistant for fintech risk and compliance operations | Y Combinator 💼 The role: You are part of the founding team. You’ll play a crucial role in shaping the future of our company - from hands-on engineering and product work, to high-level strategic decisions. As a Fullstack Software Engineer at Diligent AI, you’ll be responsible for the development and scaling of our core platform, working closely with enterprise customers, as well as building new zero-to-one initiatives. What we expect: Within days: • Translate novel LLM capabilities into understandable, intuitive and performant end-user experiences., • Release your first code, we believe in the “You Build It, You Run It” principle, • Work directly with customers to solve their problems. We need someone who has high empathy and is excited by working side-by-side with financial crime and risk teams to solve critical problems., • Evolve schemas and bring structure to non-deterministic outputs., • Lead customer calls and own customer outcomes., • Work directly with the CEO, CTO, and other founding members and mature our engineering practice., • Tackle technical and non-technical scaling problems that come with high growth., • Navigate ambiguity with confidence, proactively shaping direction when goals are fuzzy or inputs are incomplete. Must-have • 3+ years of professional software engineering experience building and shipping production systems, • 3+ years with modern web technologies (TypeScript/JavaScript, React, Node.js), • 2+ years of experience with AWS, specifically serverless, • Experience building and deploying scalable backend systems and APIs, • Comfortable working across the full stack, from database design to frontend implementation, • Track record of shipping high-quality code quickly and iterating based on user feedback, • Bonus: Experience with AI/ML systems, LLMs, or working in regulated industries (fintech, compliance, etc.), • NodeJS/Typescript, • NextJS, • Python, • AWS SAM About you • Extremely Curious: We think curious people run the world. We love those who have an insatiable hunger for more knowledge…about the customer problems, domain knowledge, technical innovations or new ways to approaches to challenges., • Hungry and driven: We are an early stage startup…this is hard and intense work that requires you to be ready to move fast, take bets and find solutions to problems that haven’t really been solved before. It will be intense but extremely rewarding, • A true owner: We don’t expect you to be just an employee, you will be part of the founding team. A strong sense of ownership and autonomy is essential - you’ll take full responsibility for your projects from start to finish and you’ll be expected to deal with ambiguity getting things done without overcomplicating solutions., • Humble: You listen actively, embrace feedback and foster a collaborative environment where ideas are shared openly. You are confident in your expertise while recognising the value of learning from others and adapting to change. Budget: • Base salary £60k-£90k, • Equity: 0.5-1.0%, • Negotiable, depending on preferences The interview process ⏳ We are seeking to make our interview as experiential as possible in order for both sides to get the most signal on what it would be like to work together. • Initial application (<2 mins): Submit your LinkedIn (or CV) in the application link below, • CTO meet-and-greet (30 mins): Introductory call with Ahmed — get to know each other a little, • Technical interview (60-90 mins): Deepdive interview with Ahmed focusing on problem solving, coding proficiency, systems design and architecture., • CEO meet-and-greet (30 mins): Introductory call with Edo — get to know each other, • References and offer: Ideally over dinner!

If you need support in completing the application or if you require a different format of this document,please get in touch with at or call TCS London Office number 02031552100 / +44 204 520 2575 with the subject line: “Application Support Request”. Role: Creative Engineer Location: London Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership. The Role This role is ideal for individuals passionate about creative coding, design-led development, and rapid prototyping. Your responsibilities: • Develop interactive prototypes and visual experiences using vibe coding principles., • Collaborate with designers and business teams to translate creative concepts into functional demos., • Experiment with emerging technologies (AR/VR, generative art, motion graphics, etc.) to push boundaries., • Ensure high-quality code and maintain performance standards for real-time experiences., • Document workflows and share learnings for future innovation projects. Your Profile Essential skills/knowledge/experience: • Proficiency in JavaScript, HTML/CSS, and frameworks like React, Three.js, or similar., • Familiarity with creative coding libraries (e.g., p5.js, GSAP)., • Basic understanding of UX/UI principles and design collaboration., • Ability to work in agile environments and deliver quick prototypes. Good to have: • Exposure to AR/VR development (Unity, Unreal Engine)., • Knowledge of generative art, motion design, or data visualisation., • Experience with API integration and cloud platforms. Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network. We offer health & wellness initiatives and sports events; we are the proud sponsor of the London Marathon. Diversity, Inclusion and Wellbeing Tata Consultancy Services UK&I is committed to meeting the accessibility needs of all individuals in accordance with the UK Equality Act 2010 and the UK Human Rights Act 1998. We welcome and embrace diversity in race, nationality, ethnicity, disability, neurodiversity, gender identity, age, physical ability, gender reassignment, sexual orientation. We are a disability inclusive employer and encourage disabled people to apply for this role. As a Disability Confident Employer, we offer an interview to applicants with disabilities or long-term conditions who meet the minimum criteria for the role. Please email us at if you would like to opt in. If you are an applicant who needs any adjustments to the application process or interview, please contact us at with the subject line: “Adjustment Request” or call TCS London Office 02031552100 / +44 204 520 2575 to request an adjustment. We welcome requests prior to you completing the application and at any stage of the recruitment process. Next Steps: Application Process • Skill-Based discussion: This will be a level 1 interview with the project team, it can be via video or in-person. Details will be confirmed by your recruiter., • Managerial discussion: This discussion will focus on behavioural aspects and person-organisation fit., • HR Discussion: This will be with one of the members of the HR team and will cover your career journey, aspirations for growth, compensation and any other questions you may have. Beware of Fraudulent offers This is to notify you that TCS does not ask for any sort of payment or security deposit from candidates at any stage of the recruitment process. The firm never sends out job offers from free internet email services like Gmail, Yahoo Mail, and so on. TCS has not authorised any third-party company to collect money on their behalf. As a vigilant job seeker, beware of fraudulent recruitment activity and protect your interests! You can write to to report any fraudulent activity. Due to the high volume of applications, we will be unable to contact each applicant individually on the status of their application. If you have not received a direct response within 30 days, then it should be deemed unsuccessful on this occasion. Join us and do more of what matters. Apply online now.

A leading UK bank is seeking an experienced Salesforce Engineers. We have successfully built out the first feature team and now moving into 2026 we are continuing to grow the salesforce team. You’ll be at the heart of designing and building innovative Salesforce solutions – delivering secure, scalable applications, optimising user experience, and ensuring the platform is resilient and future-ready. This is a chance to work in a collaborative, forward-looking environment where your technical expertise will shape strategy, your craftsmanship will solve complex challenges, and your passion for engineering will inspire excellence across the team. Accountabilities • Build Engineering – Configure and customise Salesforce solutions using Flows, Apex, Aura, LWC, and OmniStudio to deliver scalable, upgradeable, and low-technical-debt applications., • Integration – Design and implement secure, high-performing integrations with APIs, middleware, and event-driven patterns to ensure seamless data flow and system interoperability., • DevOps & Automation – Apply branching strategies, CI/CD pipelines, test automation, and 2GP packaging to enable efficient, repeatable, and low-risk releases., • Quality & Reliability – Own delivery from development to production, with test automation, deployment plans, and monitoring in place to ensure resilience and reduce recovery time., • Security & Compliance – Follow secure coding practices (CRUD/FLS, least privilege, encryption) and governance standards to protect sensitive data and meet regulatory requirements., • Collaboration – Work closely with architects, product owners, and cross-functional teams to align solutions with enterprise strategy and business outcomes., • Continuous Improvement – Champion evolving engineering practices, contribute to Agile ceremonies, and trial new tools and processes to improve efficiency and predictability. Expectations • Translate business requirements into robust, scalable Salesforce solutions., • Provide technical support in Salesforce architecture, integration, and DevOps practices., • Proactively address technical debt, ensuring long-term platform stability and cost efficiency., • Act as a trusted advisor to stakeholders, influencing technology direction and delivery priorities., • Foster a collaborative culture that values innovation, craftsmanship, and continuous learning., • Contribute to communities of practice, sharing knowledge and best practices across teams., • Uphold engineering and compliance standards, ensuring solutions remain secure and audit-ready. Skills & Competencies • Expert-level Salesforce data architecture, Flows, Apex, LWC, and OmniStudio., • Strong integration expertise (APIs, ETL, asynchronous/event-driven architecture)., • Proficiency in Salesforce DevOps (Salesforce DX, CI/CD pipelines, 2GP packaging)., • Skilled in SOQL/SOSL optimisation and scalable data modelling., • Strong grasp of Salesforce design patterns, component-based development, and secure coding practices., • UI/UX development aligned with accessibility standards (WCAG) and responsive design., • Advanced version control (Git) and deployment tools (Salesforce DX, Copado, Gearset)., • Experience in AppExchange evaluations and Build vs. Buy recommendations., • Proven ability to mentor, collaborate, and communicate effectively across technical and non-technical stakeholders., • Experience in agile delivery, contributing to iterative, high-quality product development. Certifications • Preferred: Salesforce Certified Platform Developer, • Preferred: Salesforce Certified Application Architect, Salesforce Certified System Architect This is a permanent role with hybrid based working in London.

Electrical Engineer – Solar, BESS & Emerging Technologies Location: London / Hybrid A fast growing renewable energy developer is seeking an ambitious Electrical Engineer to join their expanding technical team. This is a rare opportunity to work on some of the UK’s most exciting large‑scale solar and Battery Energy Storage System (BESS) projects, while also gaining exposure to emerging technologies such as data centres, geothermal and onshore wind. This organisation is not a traditional corporate developer. You’ll be joining a small, high‑performing, entrepreneurial team where your ideas matter, your growth is encouraged, and your work directly shapes the future of the business. If you’re looking for accelerated career development, real responsibility, and the chance to influence major renewable projects from day one, this role delivers exactly that. The Role As an Electrical Engineer, you will play a key role in the design, development, and delivery of utility‑scale renewable energy projects across the UK. Your responsibilities will include: Technical Design & Engineering • Producing and reviewing HV and LV electrical designs, including SLDs, cable sizing and earthing., • Conducting power systems studies (load flow, fault level, harmonics) using industry‑standard software., • Preparing and submitting grid connection applications to DNOs and National Grid., • Managing the process through to offer acceptance., • Supporting planning applications, EIAs and DCOs with technical inputs., • Coordinating with consultants, contractors and equipment suppliers., • Exploring and applying AI tools, scripting and automation to improve engineering workflows., • Contributing to a culture of continuous improvement and technical excellence. Requirements: • A degree in Electrical Engineering or a closely related field., • Understanding of UK power systems and grid connection processes., • Experience or familiarity with renewable energy electrical design., • Knowledge of software such as ETAP, DIgSILENT PowerFactory or PSS/E., • A genuine interest in AI, coding (Python or similar) and automation., • Strong communication skills and the ability to work both independently and collaboratively., • A proactive, positive attitude and a desire to contribute to a fast‑moving project pipeline., • A full UK driving licence.

Java Architect (with Capital Markets exp.) Project description We are building an end-to-end client lifecycle management solution, where technology drives procedural automation and standardization. Our solution includes industry-leading modules and tools widely adopted by financial institutions. This strategic initiative spans the entire client lifecycle—from onboarding to maintenance and offboarding—while providing seamless integration with various in-house products such as Counterparty Manager, ISDA Amend, Outreach360, Request for Amendment, KYC, and Tax Utility. We leverage a mature Java/Spring Boot-based tech stack, supported by AWS infrastructure, along with the latest advancements in the industry to deliver this solution over a multi-year span. Responsibilities • Working across backend, front-end, data, and AI functions, with a focus on modern architectures, AI-driven automation, and cross-jurisdictional data compliance., • Design and architect solutions for complex business challenges in the client lifecycle management space, utilizing your extensive experience with the Java/Spring Boot/Angular/PostgreSQL tech stack and AWS infrastructure., • Provide guidance and technical leadership to development teams on best practices, coding standards, and software design principles, ensuring high-quality outcomes., • Demonstrate a deep understanding of existing system architecture (spanning multiple systems) and creatively envision optimal implementations to meet diverse client requirements., • Play a key role in the development team to create high-quality, high-performance, and scalable code., • Troubleshoot and resolve complex software issues and defects within the Java/Angular/PostgreSQL tech stack and AWS-based infrastructure., • Build systems for KYC, AML, FATCA/CRS, LEI, and other regulatory checkpoints., • Implement automation across entity matching, data validation, and workflow orchestration using AI/ML., • Implement agentic AI and LLM-based services to streamline onboarding, document processing, and exception handling., • Ensure compliance with data privacy, data sovereignty, and regulatory architecture patterns (e.g., regional sharding, zero-data copy patterns)., • Bring in proven experience working with or on Client Lifecycle Management and/or KYC workflow solutions, demonstrating a strong grasp of the subject matter. Skills Must have • Strong Core Java 8+/Java EE design skills, including design patterns., • Significant experience in designing and executing microservices using Spring Boot and other Spring components (JDBC, Batch, Security, Spring Data, etc.)., • Proficient in messaging tools such as Active MQ, SQS, SNS, and Kafka., • Expertise in optimizing SQL queries on PostgreSQL databases., • Strong experience with multithreading, data structures, and concurrency scenarios., • Proficient in using REST APIs, XML, JAXB, and JSON in creating layered systems., • Experience with AWS Services (AWS Lambda, AWS CloudWatch, API Gateway, ECS, ECR, SQS, SNS)., • Familiarity with Open AI APIs, Agentic AI – Crew / LangChain / RAG / AutoGen / NLP / Java / Python / REST / Telemetry / Security / Auditability., • Domain knowledge in client onboarding, KYC, and regulatory workflows, with a deep understanding of the client onboarding lifecycle: initiation, due diligence, approvals, legal entity structuring, and regulatory documentation., • Hands-on experience with entity resolution and matching (graph-based ID resolution, fuzzy match frameworks)., • Proven experience leading a development team on client lifecycle management products., • Experience with enterprise architecture frameworks (TOGAF, Zachman) and threat modeling (STRIDE)., • Knowledge of data partitioning, GDPR, and the latest UI trends, such as Micro Frontend Architecture, is desirable., • Experience with Pega / Appian is a plus

Job title: Technical Lead Reporting to: Deputy Director of Content Protection and Enforcement, Development Location: London Bridge, London (3 days working from the office, 2 days from home) Start Date : April 2026 About IFPI IFPI is the voice of the recording industry worldwide. IFPI and its National Group network represents the interests of some 8,000 members across the globe. Our mission is to make music thrive by promoting the value of recorded music, campaign for the rights of record producers, and expand the commercial uses of recorded music. IFPI’s head office is located in London, with additional offices in Brussels, Nairobi, Singapore, Miami, Abu Dhabi and a representative office in Beijing. We have affiliated organisations in 70 countries, including national groups and music licensing companies that represent their own region’s member record companies. Our CPE (Global Content Protection & Enforcement) technology team develops tools and systems that safeguard members' rights around the clock — from monitoring online infringement to supporting legal investigations. The role This is a technical leadership role, not a management role. You will be the most senior technical voice in a focused team of three developers, responsible for guiding architecture decisions, shaping delivery practices, and ensuring that the solutions we build are robust, maintainable, and fit for purpose. A significant and growing part of how we develop software is through AI-assisted development. Working closely with senior management, you will champion best practices in agentic AI development — including how to structure projects, write effective prompts and markdown specifications, maintain coding standards across AI-assisted workflows, and coordinate consistent practices across the team. You will also contribute to defining the guardrails that allow the team to move quickly without sacrificing quality. The solutions we build range in scale. Some are small enough to be built rapidly via vibe coding; others require careful architecture, modular design, and production-grade engineering. Your experience is important to identify the differences and lead accordingly. General Responsibilities Architecture & Tech Stack • Provide well-reasoned, defensible decisions about tech stack selection — balancing capability, maintainability, team familiarity, and long-term cost., • Evaluate the best architectural approach according to the specific characteristics of each project, using simplicity, efficiency, robustness, and optimisation as guiding principles., • Challenge solution designs and provide appropriate advice to ensure that systems are broken down sensibly and not over-designed., • Maintain awareness of the broader technology landscape and guide the team toward proven, appropriate choices. AI-Assisted Development Leadership • Work closely with the deputy director to establish protocols and best practices when using AI-based coding to roll out team-wide standards., • Establish conventions for project structure, markdown specifications, prompt design, and code review in AI-assisted workflows., • Identify where AI-assisted development accelerates delivery and where it requires more careful oversight., • Ensure AI-generated code meets the same quality, security, and maintainability standards as hand-written code. Delivery & CI/CD • Orchestrate the delivery of production-ready code, from design through deployment., • Co-coordinate deployment strategies, and release practices appropriate to the team's scale., • Define standards for testing, code review, and code health that the team can follow consistently., • Ensure engineering plans and test schedules are clearly defined and communicated. Team Guidance & Culture • Serve as the lead the team can look to for technical guidance on hard decisions., • Mentor and guide developers of varying experience levels, fostering a collaborative, learning-oriented environment., • Foster a 'you build it, you run it' culture that builds accountability and operational awareness. Position Requirements Essential • 5+ years of professional software development, with meaningful time in a tech lead or senior architect role., • Demonstrated experience making architecture decisions at team or product level — and defending them to stakeholders., • Strong proficiency in Python and at least one modern frontend framework (Vue.js, React, or Angular)., • Solid grasp of SQL database design, RESTful APIs, and backend systems., • Hands-on experience with AWS or equivalent cloud platforms; understanding of cloud-native architecture patterns., • Practical experience with CI/CD tools and DevOps principles in a production environment., • Experience with or genuine enthusiasm for agentic AI coding tools., • An instinct for appropriate simplicity: the ability to resist over-engineering and recognise when a straightforward solution is the right one., • Excellent written and verbal communication; comfortable engaging technical and non-technical audiences alike. Desirable: • Familiarity with agentic AI workflows, prompt engineering, and managing AI-generated code in production., • Experience with web scraping or crawling systems (relevant to our content monitoring work)., • Knowledge of NoSQL technologies (MongoDB preferred)., • Experience with data engineering, ETL processes, or ML-adjacent applications., • AWS certifications, or willingness to obtain them., • Interest in music, copyright, or the broader creative industries. How to apply Candidates who can demonstrate that they meet specifications set out above and can prove that they have the right to work in the UK should send an application to or by post to HR Department, IFPI Secretariat, The Shard, 7th floor, 32 London Bridge Street, London, SE1 9SG. The application should include your CV and a covering letter stating how you meet each requirement. Due to the need to fill this role swiftly, applications will be reviewed on a rolling basis, and we reserve the right to close this advert before the confirmed closing date when we receive sufficient applications. Closing date for applications Monday 6th April 2026 Interview Process We will, having reviewed applications on a rolling basis, seek to conduct interviews with candidates via online or in person. In order to process job applications, IFPI collects personal information submitted by applicants. By applying for this role, you are consenting to that processing. All personal information is processed in line with our privacy policy set out at . EEO Statement IFPI is committed to equal opportunities and welcomes colleagues from a diverse range of backgrounds.

ROLE OVERVIEW // We are seeking an experienced Quality Assurance (QA) Lead to join the Technology Department. The role sits within the Quality Assurance team which is a part of the Technology department and the wider Business Services function based at the firms’ head office in London. The successful candidate will sit alongside QA Leads within the Quality Assurance team, with clear accountability for technical QA excellence, automation strategy, and external partner oversight. The role owns the technical quality capability for projects, ensuring that delivery teams and third parties meet defined standards for automation, performance, data quality, and AI-enabled testing. This role requires strong experience in QA methodologies, test automation, and extensive experience working with enterprise-wide business systems and integrations. The Test Lead reports into the Quality Assurance Manager. KEY RESPONSIBILITIES // The key responsibilities of this role are set out below and there may be others which are not listed. You may be required on occasion to work outside our normal working hours of 9:30am to 5:30pm. Test Management: • Lead and manage the end-to-end QA process for the project capability including planning, design, execution, and closure., • Review design requirements and provide effective feedback for creation of test scenarios – additionally drive requirement traceability between requirements and test cases., • Develop and maintain the test strategy, test plans, and test cases for the project, ensuring alignment with project requirements and timelines., • Ensure all test activities are well-documented, tracked, and reported, adhering to the organisation's quality standards. Technical Leadership: • Own and evolve the technical QA strategy - covering automation, AI, performance, data, and non-functional testing, • Define and maintain technical QA standards, patterns, and guardrails for all project and platform testing., • Act as the technical authority for QA tooling, frameworks, and test architecture decisions., • Own and evolve the AI QA roadmap, identifying where AI can improve test effectiveness, efficiency, coverage, and insight. Additionally, leading the evaluation, piloting and adopting of AI-enabled QA tools and techniques. Stakeholder Management: • Collaborate with project managers, business analysts, and other stakeholders to understand project requirements and objectives., • Communicate test progress, risks, issues, and mitigations to stakeholders in a timely and transparent manner., • Act as the primary QA contact for third-party vendors, coordinating testing efforts and ensuring vendor deliverables meet the required quality standards. Test Automation and Tools: • Own and drive of the Playwright C# test automation framework and drive improvements in best practice and future implementation., • Drive and develop the implementation of enterprise test automation tools to automate the regression pack for desktop-based applications and enterprise systems, such as M365 and Azure Integration Services., • Manage and optimise the use of Azure DevOps to enable test automation within CI/CD pipelines, increasing speed to market and reducing deployment risks., • Ensure the team stays current with the latest test automation tools and techniques, driving continuous improvement in testing practices. Third-Party and Vendor Management: • Provide technical oversight and governance for all QA activities delivered by third-party partners and professional services providers, • Coordinate and oversee testing efforts involving third-party applications, ensuring seamless integration and high performance., • Ensure third-party automation and testing solutions align with internal standards and are transferable, maintainable, and reusable., • Review and approve vendor test plans, ensuring they meet project requirements and quality benchmarks., • Act as the escalation point for technical QA risks and quality concerns relating to external delivery. Reporting and Documentation: • Prepare and deliver regular test status reports, highlighting key metrics, test coverage, defects, and progress towards milestones., • Ensure comprehensive documentation of test cases, defects, and testing procedures to support knowledge transfer and future project phases., • Conduct post-implementation reviews and retrospectives, documenting lessons learned and recommendations for future projects. CANDIDATE PROFILE // Candidates for this position must have: • Minimum of 5-7 years of experience in Quality Assurance, with at least 3 years in a lead or management role., • Strong automation coding capability (preferably in C#, .Net), • Solid understanding of CI/CD, DevOps practices, and modern SDLCs., • Extensive experience in working across complex enterprise systems, integrations and managing third-party vendors., • Strong analytical and problem-solving skills, with an eye for detail and a commitment to quality., • Excellent communication and stakeholder management skills, with the ability to present complex information clearly and concisely., • Ability to work under pressure and manage multiple priorities in a fast-paced environment., • Strong experience with test automation tools and frameworks – Playwright or Tricentis Tosca, • Experience with Agile and Waterfall methodologies and managing the test lifecycle from project initiation to completion., • Hands-on experience with ALM/test management tools such as Azure DevOps and TestRail. We welcome applications irrespective of race, colour, ethnic or national origin, disability, sex, gender identity, sexual orientation, age, religion, belief or marital status

With offices London and New York, this award-winning, fast growing fintech company is revolutionising (that’s a big word, but they are)! the Hedge Fund industry. They solve complicated problems in this highly complex domain, using modern product development practices executed by some of the best engineers in the industry, with high levels of innovation. Who we are looking for… You might be a recent graduate, a career switcher or even have some commercial experience already. Whatever the case, you will be passionate about coding and excited to learn more. We are seeking someone with initiative who thrives is a collaborative envirovment. Stack includes: Python, dataclasses, Pandas, Polars, Pytest, Asyncio, Postgres, and AWS services such as ECS, Lambda and SQS - so experience with these technologies or alternatives would be helpful, but as long as you have a good understanding of Python and are smart and keen to learn then we can consider you. It’s a test driven environment; TDD/BDD, pair/mob programming and CI/CD with automated tests & linting. We would not expect much (or any) experience with these techniques but curiosity about them would be great. This company would invest a lot in you and would nuture your software engineering career. You would be surrounded by really smart and very experienced Python Developers who you would learn from. The team are smart and innovative but also friendly, humble and are excellent colleagues; its a great environment. Please apply here (stating your nationality and visa status; please note we can’t make applications now or in the future). If you have questions, but aren’t yet ready to apply, please call Leigh on 07789850017

Trading Support Engineer - Ultra Low Latency Trading Platform - Up to £75k + Bonus Support the biggest names in FX and Equity trading on the fastest proprietary OTC trading platform in the world today. You'll directly interact with Traders to troubleshoot and provide immediate fixes to complex technical issues that arise within the trading platform. It's not all support though, this is a massively broad role touching everything, working with infrastructure and development teams to improve the platform and processes. From a tech perspective, you'll need exposure to Linux systems and SQL databases. Ideally, you'll have coding skills in Python to be able to automate trading workflows. AWS exposure would be nice, but none of the critical trading infra is hosted here for latency reasons. You'll need at least 1-2 years supporting live trading environments. If this is in the FX or Equities world, even better. • London based, • hybrid 3x a week onsite, • Up to £75k + Bonus DOE Interesting? Apply now. No up-to-date resume required.

Engineering Manager Our client, a MarTech business building an AI-driven platform that helps teams make better decisions about digital content and performance are looking for an Engineering Manager to join the team. Responsibilities: • Lead end-to-end delivery of complex product features., • Blends hands-on coding and strategic leadership (approx. 50/50 split)., • Managing engineers in a product environment, • Ensure engineering excellence: enforce code review standards, implement practical testing strategies, maintain CI/CD hygiene, and define clear completion criteria., • Collaborate closely with Product and Delivery teams to drive alignment and execution. Requirements: • Proven experience managing engineering teams in a product-focused environment (startups or scale-ups preferred)., • Leading cross-functional teams (Product, Design, Engineering, Operations)., • Full-stack technical proficiency: able to review, unblock, and guide frontend and backend development., • Strong software engineering fundamentals, including API design, data modeling, testing, and operational readiness., • Excellent stakeholder management skills. Tech Stack: • Frontend: React, TypeScript, • Backend: Java 17+, Python (FastAPI), • Databases: NoSQL, • Cloud: GCP or equivalent, • DevOps: Docker, CI/CD, • Experience with ML pipelines and media processing is a plus They are looking to pay up to £100K base + benefits. It’s a hybrid role with travel to the central London office 2x per week. Please apply with your most update to date CV and if successful a consultant will be in touch

RED now has a new contract opportunity for a C# Developer to join one of our key partners for a brokerage project. The initial contract will be for 8 months with excellent extension opportunities. This contract is to start 14th of May and will be hybrid with 3 days pr week on-site in London, United Kingdom. Role responsibility: As a Senior C# developer, you will lead the design and development of high-performance software while bridging the gap between application code and cloud infrastructure. You are responsible for building scalable systems and automating deployments using AWS CDK with Python, ensuring seamless integration and high availability. Beyond hands-on coding, you will drive technical excellence by mentoring engineers, enforcing security and testing standards, and collaborating with cross-functional teams to deliver robust solutions that align with business goals and Agile timelines. Specific skills/experience required: • Minimum 5+ years of experience as a C# Developer, • Strong knowledge of core AWS Database services, • Hands-on experience with Infrastructure as Code, specifically using AWS CDK in Python, • Experience with automated testing frameworks and good understanding of unit testing principles, • Strong experience with Agile environments, • Excellent problem-solving skills, and strong leadership/collaboration skills with the ability to work in tight deadlines, • Strong knowledge of microservices architecture in cloud environments, • Strong understanding of database design and experience with relational and/or NoSQL databases, • Experience with Docker for containerisation, • Familiarity with Kubernetes, • Proficiency in using Git and JIRA, • Background with CI/CD pipelines + tools, • Experience writing documentation, • Background in the finance sector (preferred) If interested, please send an updated CV to with availability and rate. We have already received interview slots for tomorrow and Thursday! Want to recommend anyone? We also pay a referral fee for any successful recommendations..

We have partnered with an end-to-end biotech company that is developing transformational medicines, with technology at its core. The company’s ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. It leverages single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding—from cause to cure. This year, the company embarked on a dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing its internal osteoporosis programme. By combining cutting-edge ML capabilities with GSK’s deep expertise in drug discovery, the partnership underscores the company’s commitment to pioneering science and delivering impactful therapies to patients. The company is rapidly scaling its technology and discovery teams, creating a unique opportunity to join one of the most innovative TechBio organisations. Based in central London, its state-of-the-art wet and dry laboratories provide an exceptional environment where interdisciplinary collaboration thrives. It is pushing the boundaries of drug discovery and transforming groundbreaking science into impactful therapies for patients. The company believes that innovation flourishes through diversity and collaboration. As an equal opportunities employer, it is committed to building inclusive teams where everyone can contribute their unique perspectives and thrive. Individuals from all backgrounds are encouraged to apply. The Opportunity The company is seeking a Research Engineer to join its Machine Learning group to drive the development, deployment, and scaling of ML and computational systems across the organisation. This role sits at the intersection of research and engineering, improving research workflows, supporting rapid experimentation, and enabling teams to push the limits of modern ML. The Research Engineer will collaborate with machine learning scientists, data scientists, platform engineers, and other domain experts across the organisation. Depending on priorities, the engineer may work within a specific ML team or operate in a cross-functional capacity. Based at the company’s wet/dry lab and headquarters in central London, the role involves working with large datasets, complex models, and high-performance compute. The engineer will strengthen training and inference pipelines, improve software foundations, and optimise the hybrid on-prem/cloud environment, including dedicated DGX clusters and collaborations with partners like NVIDIA. Responsibilities • Work with interdisciplinary teams to solve challenges across data engineering, ML engineering, and software engineering, • Build and improve data processing, transformation, and loading systems to support model training and inference at scale, • Develop and maintain high-quality research and production codebases to enable rapid, reproducible experimentation, • Advance software engineering practices by optimising systems, streamlining pipelines, and improving robustness across workflows Education & Experience • BSc/MSc/PhD in Computer Science, Machine Learning, Engineering, or related field, • 2+ years of industry experience Core Skills • Solid understanding of algorithms, data structures, and computational complexity, • Proficiency in Python with clean, maintainable coding practices, • Familiarity with PyTorch and common scientific Python libraries Machine Learning Expertise • Solid understanding of ML fundamentals and modern deep learning, • Experience training, evaluating, and iterating on models Infrastructure • Familiarity with AWS or GCP, Docker, Kubernetes, and CI/CD, • Familiarity with orchestration tools (Airflow, Prefect) and model-serving frameworks Nice to Have • Exposure to biology, bioinformatics, or machine learning for scientific domains Personal Attributes • Collaborative team player, able to communicate effectively with stakeholders from diverse backgrounds and technical abilities, • Passionate about science and making a real difference for patients, • Self-motivated, curious, and driven to succeed, • User-minded: considers how datasets and models will be used downstream, • Comfortable working independently and taking initiative Why Join • Work in a highly collaborative, interdisciplinary environment, • Access to state-of-the-art wet and dry lab facilities in central London, • Shape the systems and infrastructure that support cutting-edge ML research, • Contribute directly to advancing drug discovery and improving patient outcomes The company is a committed equal opportunities employer and welcomes applicants from all backgrounds.

Ever built something from scratch and seen it become the fastest thing in the market? A London based trading tech firm is hiring C++ engineers to help build what they (and their clients) genuinely believe is the most advanced trading engine in crypto. It’s low latency, ML integrated, and already live with some of the biggest institutional players in the space. No legacy, no noise, no middle layers, just a small team of serious engineers moving fast. You’ll be solving real problems like: • High-frequency execution across CeFi and DeFi, • TCA at microsecond resolution, • Smart routing, net settlement, and soon, crypto options (basically untouched territory) You’ll be working side by side with someone who: • Started coding at 5 years old, • Built the algo behind 75% of global derivatives flow at a top 3 bank ($100m P&L in 4 years), • Got personally commended for his C++ by the founder of the language 4 days in, up to £200k base, 3 stage process. If you get a kick out of shaving micros/nanos off a system and want to build something with zero compromises, apply.

Senior Digital IC Design Engineer UK | Hybrid | Competitive Salary An innovative deep-tech start-up developing next-generation computing hardware for autonomous and edge systems is seeking a Senior Digital IC Design Engineer. You’ll play a key role in shaping architecture, driving digital design from concept to tape-out, and collaborating across multidisciplinary teams. Key Responsibilities • Design and develop digital components, • Take designs from architecture through RTL coding to the final layout, • Work closely with other hardware teams to define chip interfaces, • Create and run simulation and verification plans to ensure the design works correctly Essential Skills & Experience • Strong experience in digital IC design with a focus on computer architecture, • Proven RTL design experience in Verilog/SystemVerilog, • Deep understanding of cache hierarchies, bus protocols, memory management units, and task scheduling, • EDA skills are a bonus Apply now to join a pioneering hardware team building the next generation of intelligent computing systems.

Principal Data Engineer £110,000 + 20% bonus Hybrid | London We're working with a global branded entertainment business, operating across multiple international markets, to find a Principal Data Engineer who will shape the future of their data estate. This is a genuine player-coach role at a pivotal moment. The business is mid-transformation, moving from a legacy environment to a modern, cloud-native platform built on Databricks and Azure. You'll define the architecture, drive execution, build the team, and set the technical culture from the ground up. You'll be the technical face of data to the business: sitting with senior stakeholders, translating complex trade-offs into plain language, and holding the line on what gets built right versus what gets fixed fast. Responsibilities as a Principal Data Engineer: • Define the directional architecture for the new data estate, including Lakehouse, Medallion and Eventing patterns on Databricks and Azure, • Lead discovery of the legacy estate: identify what to kill, what to keep, and how to migrate without breaking continuity, • Line manage, hire and develop the Data Engineering squad, setting technical standards and team culture, • Implement modern engineering hygiene: CI/CD, automated testing, observability and FinOps, • Partner with the Data Delivery Lead to balance tactical fixes against strategic build, • Represent the data function in setting organisation-wide standards for coding, security and DevOps Requirements: • 5 to 8 years in data engineering or data architecture, with at least 3 years in a leadership position, • Expert-level Databricks, Azure and SQL/Python, • Proven track record of refactoring legacy estates onto modern platforms without breaking things, • GCP and BigQuery experience is a strong advantage, • High EQ, comfortable presenting to leadership and managing non-technical stakeholders, • A software engineering mindset, not a scripting one Why apply: • Real architectural ownership from day one, not inherited decisions, • A mandate to build the team and culture around you, • Visibility at VP and leadership level across a major international business, • Hybrid working from London If you're a Principal Data Engineer who wants to lead something meaningful rather than maintain something inherited, this is worth a conversation. Apply below or reach out directly. Due to the high volume of applications, not all applicants will receive feedback.

⌛ Type: Full-time 📍 Location: Hybrid, London UK (Min 2 days a week in Chancery Lane office) 💰 Compensation: Competitive salary 25 days annual holiday About Rainforest Builder Rainforest Builder is Africa’s leading forest restoration company, on a mission to restore one million hectares of degraded land to natural tropical forest. By combining world-leading science, forestry, and tech, we are able to deliver high-quality forest restoration at unprecedented scales. Our projects work to remove hundreds of millions of tonnes of CO2 from the atmosphere, reverse declining biodiversity trends, and deliver equitable economic growth to rural communities. We currently operate four projects across three countries in West Africa, and are continuing to expand to new areas within the region. To unlock restoration at scale, we are working to build best-in-class software enables highly-distributed operations, manages data flows through the business, and, ultimately, delivers high-integrity data into the hands of stakeholders and other third parties. Role Overview As a Senior Product Engineer at Rainforest Builder, you will take full responsibility for an operational domain within our organisation. You’ll be the one clarifying the problem, finding the solutions, and executing the delivery. Pre-LLMs, this would have been Team Lead, but the way we work is shifting. It’s now possible for high-skill, high-agency individuals using the latest tooling to perform the work a team used to do. We want to strip back the process that slows down dev teams, and give great people an objective and let them execute. This means we need people who are excited at the prospect of owning both product and technical implementation, and working with high agency to deliver. You will have the support of key business stakeholders, but will be expected to build relationships within the business in order to understand the problem you are solving. The ideal candidate will have both a strong technical foundation and a product mindset, and the ability to solve an issue across the full technical stack. The ideal candidate will be highly motivated and looking for real-world impact: building software to enable projects that restore biodiversity, deliver equitable economic growth to rural communities, and remove greenhouse gas at scale. Key Responsibilities • Take full ownership of a domain space and build solutions into our tech platform, • Collaborate closely with Business owners, employees and staff in the field to establish solutions to problems within your domain area., • Collaborate with team members on system architecture and technical direction., • Manage end to end delivery of software, simplifying complex problems and creating elegant solutions Essential Experience • 5+ years of hands-on experience designing, building and scaling full-stack applications, ideally within startups, • Strong product mindset — focused on outcomes and user impact., • Excellent communication skills across technical and non-technical audiences., • Comfortable working in fast-moving, ambiguous startup environments., • Strong command of AI tools, AI assisted coding, not vibe coding Why join us? • Be part of a mission-driven startup tackling one of the planet’s most urgent challenges., • Build software with tangible, real-world environmental and social impact., • Work with a high level of autonomy, • Work with a collaborative, ambitious team scaling forest restoration across West Africa. Sound exciting? To apply, email your CV and covering letter to . Applications are not accepted via LinkedIn. Short-listed candidates will be contacted.

About the Team: You'll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. By assessing government- issued identity documents and facial biometrics using state-of-the-art machine learning, we provide companies with the assurance they need to operate securely while allowing people to access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy models to serve our worldwide customer base. Position Overview: We are looking for an Applied Scientist II to design and train cutting-edge machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML. What you will be doing: • Push the frontier of research in areas such as deepfake detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML., • Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world-class identity-focused products. Representative work: • Implement bias-mitigation strategies to build fair face-matching and deepfake-detection models., • Train and benchmark large-scale vision-language models for document extraction., • Train a multi-modal document understanding model from scratch using synthetic data., • Optimise LoRA adapter latency in PEFT/Triton., • Profile, debug and improve model training speed on multiple GPUs., • Create a large-scale dataset for deepfake detection., • Experiment with multimodal models to detect fraud. You may be a good fit if you: • Have strong experience in machine learning and computer vision., • Have a strong record of successfully delivering high-performance ML-driven products., • Have a deep understanding of machine learning theory., • Have strong coding skills in Python and PyTorch., • Care about building fair and cutting-edge machine learning products. Strong candidates may also have: • Technical experience in one or more of the following areas: face matching, bias mitigation, anomaly detection, document understanding or on-device ML., • Published at top-level machine learning conferences. Experience optimising (distributed) training code. Where you will be: This role is based in our London, UK office and follows a hybrid model, requiring in-office presence three days per week. Benefits UK • 25 days annual leave plus a day off for your Birthday., • Two paid volunteering days per year.*, • Bupa Private Medical and Dental Insurance*, • Pension with The People’s Pension (employer contribution 4% of base salary)*, • Generous paid parental leave, • Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy, • Dedicated learning opportunities including using tools like Linkedin Learning with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more, • Our open and transparent culture is reflected in our “Better Together” motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events, • Expense up to £300 (or local equivalent) to purchase workstation setup equipment, • The opportunity to become a member of Entrust’s resource groups in order to learn different skills in our belonging groups Ready to Make an Impact? If youʼre excited by the prospect of working on cutting-edge machine learning for problems that matter, Entrust is the place for you. Join us in making a difference. Letʼs build a more secure world—together. Apply today! NO AGENCIES, NO RELOCATION #LI-GR1 #ENT123

About Us Every business needs to know who they’re really working with whether it’s suppliers, investors, partners, or third parties. At Xapien, we’re reinventing how organisations do that, combining speed, scale and accuracy with cutting-edge AI. Since 2018, we’ve grown from a deep-tech startup to a global player in AI-driven due diligence and risk intelligence. 2024 was a landmark year as we closed a $10M Series A, earned recognition in the Chartis RiskTech100® and Everest Group’s Leading 50™, and expanded our products, markets and customer base. 2025 was even bigger: With new regulations, rising compliance pressure and growing reputation risks, organisations everywhere are demanding smarter, faster ways to work and they’re turning to us. Customers worldwide from global law firms and private banks to universities and nonprofits rely on Xapien to turn days of manual research into trusted insights, delivered in minutes. Our momentum so far Customers in a diverse range of industries, with particular growth in wealth management, financial services and supply chain onboarding. Demand accelerating beyond our UK headquarters, across multiple continents with new customers in the Middle East, Asia, and Oceania. Why this is an exciting time to join This isn’t just another tech role; it’s an opportunity to shape the future of the due diligence industry with a market-leading product trusted by global organisations. Whether you’re in marketing, communications, sales, or finance, you’ll play a critical role in driving growth, building credibility, and defining how we connect our product to a rapidly evolving market. We’re scaling fast with more customers, more releases, and bigger regulatory and market challenges. Expectations are rising, due diligence now means real-time insight, delivered efficiently and with impact. You won’t just be executing campaigns, closing deals, or managing numbers, you’ll be influencing strategy, optimising processes, and helping position a brand that’s setting the new standard for trust and transparency. For people who love learning, innovating, and making an impact that matters now is the moment to be a part of Xapien. The Role We're hiring a Staff Backend Engineer to join our engineering team in a high-impact technical leadership role. You'll work on our most challenging technical problems, own parts of our platform's architecture, and help shape the technical direction of our backend stack. Our tech stack centres on Go microservices, with Temporal workflows and MongoDB running on Kubernetes in GCP. You'll work with modern patterns including event-driven architectures, gRPC and REST APIs, and comprehensive observability with Grafana Cloud. We're an AI-native engineering team. We use Claude Code daily and we're investing heavily in AI-assisted development as a core part of how we build software — not as an experiment, but as a first-class engineering practice. We want engineers who are excited about this and who have ideas about how to push it further: how to decompose work for AI agents, how to maintain quality at higher velocity, and how to help an entire team get dramatically more productive with these tools. You'll take technical ownership of major domains within our platform — whether that's our Investigations pipeline (web scraping, data provider integrations, LLM-powered analysis) or our Core App systems (user journeys, features, and configuration). You'll be a technical authority, establishing patterns that others follow and driving initiatives that span multiple teams. What You'll Do • Own the technical direction and architecture for parts of our platform, • Design and build complex backend services and systems that scale, • Drive technical decisions that affect multiple teams, • Establish patterns, standards, and best practices that others will follow, • Shape and evolve our AI-assisted development practices, setting the standards for how the team works effectively with AI tooling, • Use AI tooling to multiply your own output and help the wider team do the same, rethinking how engineering work is planned, decomposed, and delegated, • Lead complex technical initiatives from design through implementation, • Identify and address systemic technical challenges across our backend, • Set the standard for high-quality code, whether written by hand or with AI — knowing when to trust, when to intervene, and what good looks like either way, • Mentor engineers across the organization, raising the technical bar, • Balance technical excellence with pragmatic delivery, • Influence technology choices and architectural direction, • Collaborate with engineering leadership on technical strategy, • Build new systems and features while improving our existing architecture What We're Looking For Essential • 10+ years of professional software engineering experience, • Strong backend engineering fundamentals — we use Go, but we're hiring an engineer, not a language specialist. If you're excellent and haven't written Go before, that's fine., • Proven track record of designing and owning large-scale systems, • Strong experience with distributed systems, event-driven architectures, or similar complex systems, • Deep understanding of databases, particularly MongoDB or similar NoSQL systems, • Extensive experience with microservices architecture and inter-service communication, • Expert-level understanding of containerization (Docker) and orchestration (Kubernetes), • Experience working with AI coding assistants (Claude Code, Copilot, Cursor, or similar) as a core part of your development workflow, with a perspective on how to get the most value from them, • Experience establishing technical standards and patterns across teams, • Strong architectural thinking with ability to balance trade-offs, • Track record of mentoring and developing other engineers, • Ability to drive technical initiatives with minimal guidance, • Experience influencing technical direction at an organizational level, • Excellent communication skills with ability to articulate complex technical concepts Highly Desirable • Experience with Temporal or similar workflow orchestration systems at scale, • Deep knowledge of event streaming platforms like Kafka, • Experience with LLMs and AI integration (particularly for Investigations team), • Experience driving AI tooling adoption and practices across an engineering team — establishing shared conventions, measuring impact, and helping engineers level up, • Background in SaaS platforms or B2B products at scale, • Expert-level knowledge of observability tools (Grafana, Prometheus, etc.), • Deep understanding of authorization patterns, security, and multi-tenancy, • Experience with protobuf and gRPC Our Tech Stack • Languages: Go, • Databases: MongoDB, • Messaging & Orchestration: Temporal, Kafka, • APIs: REST, gRPC, protobuf, • Infrastructure: Kubernetes, GCP, • Observability: Grafana stack, • AI/ML: LLMs (OpenAI, Gemini), RAG systems, • Development Tools: Claude Code, AI-assisted development workflows What Success Looks Like In your first 6 months, you will have • Owned and driven a significant technical initiative to completion, • Established new patterns or improved existing ones across teams, • Mentored multiple engineers, visibly raising technical standards, • Contributed to architectural decisions, • Been recognized as a technical authority in your domain, • Made measurable improvements to system reliability, performance, or scalability, • Influenced the technical direction of our backend platform, • Helped evolve our AI-assisted engineering practices, contributing to how the team gets more value from our tooling Here’s our promise to you • We are going to work with you - to build a rewarding and fulfilling career with the opportunities, challenges and resources you need to do you your best work., • We succeed together- you will own a meaningful part of the business through our employee shares & equity programme., • Private health insurance to keep you in tip-top condition., • Life Insurance – let's hope nobody ever needs this!, • Unlimited holidays – yes, it really is uncapped – take the time you need, when you need it., • Everyone is learning, developing and challenging themselves so we have a £1k professional development fund per year if you want to learn new skills, even new things outside of work., • Most importantly of all, we will work with you, to help you realise your fullest potential, always.