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Data Engineer | London Hybrid | £70,000–£100,000 + 30–40% Bonus I’m currently working with a well-established and growing business in the insurance market that is looking to hire a Data Engineer into its London team. This is a strong opportunity for a Data Engineer with 3+ years of experience who enjoys working at the core of a business’s data estate — particularly where there is a need to modernise legacy SQL Server / on-prem data environments into a more scalable Azure-based platform. The role will suit someone who is confident across Azure data engineering, pipeline development, data modelling and stakeholder engagement, and who wants to play a hands-on role in shaping a more modern data infrastructure. There is also the opportunity to support broader AI and LLM-related initiatives over time. The role You will play a key role in helping to evolve and modernise the business’s data environment, with a particular focus on moving away from more traditional / legacy data processes into a more robust, scalable and cloud-based architecture. This role will involve: • Designing, building and optimising scalable ETL / ELT pipelines, • Helping modernise and migrate traditional SQL Server / on-prem data processes into Azure, • Working across Azure Data Factory, Synapse / Fabric, Azure SQL / data lake environments, • Building and improving data models to support reporting, analytics and business decision-making, • Improving data quality, validation, monitoring and overall reliability of core datasets, • Supporting integration work across internal systems, third-party platforms and APIs, • Working closely with business stakeholders to translate operational requirements into scalable technical solutions, • Contributing to reporting and dashboard capability through tools such as Power BI, • Supporting current and future AI / LLM-related projects where relevant What they’re looking for • 3+ years’ experience in Data Engineering or a closely related role, • Strong hands-on experience with SQL and Python, • Experience building and maintaining production-grade data pipelines, • Strong exposure to Azure data services, ideally including tools such as Azure Data Factory, Synapse, Fabric, Azure SQL or Azure Data Lake, • Experience working on or supporting the modernisation of legacy / on-prem / SQL Server-based data environments, • Good understanding of ETL / ELT, data modelling, data warehousing and reporting workflows, • Experience with Power BI, modern data tooling and version control / CI/CD, • Someone comfortable working with non-technical stakeholders and gathering requirements from the business, • Insurance, London Market or insurance broking data experience would be beneficial, but is not essential, • Interest in emerging AI / LLM / AI-assisted tooling is a bonus Package • £70,000–£100,000 base salary, • 30–40% bonus, • Hybrid working, • 33 days holiday, plus the option to buy 5 additional days, • Excellent pension, double matched by the company up to 10% This is a genuinely strong opportunity for a Data Engineer who wants: • real ownership across data platform modernisation, • the chance to work on Azure-based transformation work, • exposure to a complex, business-critical data environment, • a strong overall package and benefits offering, • involvement in both current data engineering priorities and future AI initiatives, • If this looks of interest, please apply with your most up-to-date CV. If this looks of interest, please apply with your most up to date CV

Lead Data Engineer Hybrid Working - 2-4 day per month in the office (East London / Essex) Salary to £75k A Lead Data Engineer is required for a transformational role. With Fabric already in place, the focus is now on maturing the environment from Bronze through to Gold over the next 12–18 months—improving architecture, data quality, and overall platform capability. This is a hands-on leadership role, acting as the senior technical escalation point while helping shape best practice, refine existing pipelines, and drive data modernisation across a complex data landscape. Key Responsibilities • Design, build and optimise scalable data pipelines within Microsoft Fabric (Lakehouse, Data Engineering, Data Warehouse, Data Integration), • Refine and enhance existing pipelines and architecture to align with best practice, • Lead the transition of the platform from Bronze to Gold standard, • Develop and fine-tune complex SQL queries, transformations, and data models, • Support and troubleshoot data issues impacting reporting (e.g. Power BI refresh failures), • Take ownership of data quality, governance, and platform reliability, • Act as the technical escalation point for a team of Data Engineers, • Lead, mentor, and support a small team (3 engineers), • Work across multiple data sources (enterprise systems and bespoke applications) feeding into a Lakehouse, • Engage stakeholders across the business to improve data quality and consistency Required Experience • Strong hands-on SQL expertise, including performance tuning, • Proven experience with Microsoft Fabric and Synapse (design, architecture, implementation), • Experience working with Lakehouse architecture and multiple data sources, • Demonstrable experience modernising data platforms (e.g. Bronze ? Gold maturity) or consolidating data into a central platform, • Strong understanding of data engineering principles, governance, and data quality, • Experience delivering and supporting production-grade data solutions, • Ability to act as a senior technical escalation point and lead delivery, • Strong stakeholder engagement skills, particularly around data quality challenges, • Microsoft certifications (e.g. DP-600, DP-900) Desirable Skills • Experience managing or mentoring engineers (or readiness to step into leadership, • Exposure to DevOps / CI-CD practices within data engineering, • Experience in complex or enterprise environments Interviews are planned for May. Please apply today for an immediate CV review. Kinetech is acting as a recruiter in relation to this hire. Please see our website for details on how we handle your data.

Rust Engineer Up to £250,000 + Bonus Hybrid - 4 days a week in central London (will reduce to 3 after 6 months) We are partnering with a leading global quantitative investment firm seeking an experienced Rust Engineer to join a high-performing team. This role sits at the core of the firm’s technology platform, focused on building scalable distributed systems, internal services, and compute infrastructure that directly support both trading and research operations. What You’ll Be Working On • Designing and developing production-grade distributed systems, • Building internal frameworks and platforms used across the business, • Developing and operating Kubernetes-based microservices, • Collaborating closely with investment and engineering stakeholders, • Supporting highly available, low-latency production environments, • Driving projects through the full software lifecycle Technology Stack Rust, C++, Python, Kubernetes, Docker, Linux, CI/CD, Distributed Systems What We’re Looking For • 6+ years of software engineering experience, • Strong commercial C++ experience (required), • Interest in or experience with Rust, • Experience with containerised microservices and Kubernetes, • Strong understanding of distributed systems and production infrastructure, • Experience designing and supporting CI/CD pipelines, • Excellent communication and stakeholder management skills

Python Desk developer | Energy Trading Desk | £150k | Hybrid, LDN | Perm Python Engineer to work directly on the trading desk for a Global Energy Trading Firm is scaling aggressively into new‑energy markets. They’re looking for a Python engineer who has experience sitting directly within the front office, embedded with traders, and build tools that influence real‑time decision‑making. This Python Developer will be on the trading floor, working shoulder‑to‑shoulder with high‑performing commercial teams. The desk is looking for someone who can translate market problems into clean, reliable, production‑ready Python with direct impact on P&L. This Python Developer will gain a high level of business exposure. You’re not just delivering tickets - you’re shaping how the desk thinks about storage optimisation, pre-trade analytics, and forecasting. You’ll gain a deep understanding of how energy markets work in practice, particularly in a complex and evolving market like Japan, while partnering closely with some very sharp commercial minds. This Python Developer is: 💰Paying up to £150k + Benefits and Bonus 🚆 Hybrid – 2 days on‑site (Oxford Circus) ⏰ 6‑month rolling contract (Multi-year) 🧑 💻Strong Python software engineering. Experience building systems in finance (e.g. trading, pricing, risk, PnL). Translating desk problems into Technical Solutions. This Python developer will be using the full Python ecosystem: NumPy, pandas, SciPy, Plotly, FastAPI, but the desk expects you to go beyond the textbook stack. When latency becomes a bottleneck, you’ll reach for async IO, Cython, shell scripting, or whatever unconventional solution gets the job done. If you are interested in this Python role with strong Front Office experience, please reply with your latest CV or send to Python Desk developer | Energy Trading Desk | £150k | Hybrid, LDN | Perm

Senior Full Stack Software Engineer | London | £100,000 - £150,000 | Python | React Location: London-based (hybrid) Salary: £100,000 - £150,000 + equity Tech Stack: • Backend: Python (Flask or FastAPI or Django), • Frontend: React, TypeScript, • Cloud Systems: GCP or AWS Are you a software engineer who enjoys shipping real products, solving tangible customer problems, and seeing your work in production quickly? We are working with a Series A AI technology company building automation software that sits directly in the operational core of key businesses. This is not experimental AI. This is production critical software used daily by hundreds of customers. This is a hands on individual contributor role suited to engineers who want ownership, pace, and impact without layers of process getting in the way. What you will be doing: • Designing, building, and maintaining backend services and APIs using Flask & FastAPI, • Building and evolving user facing web components using React/TypeScript, • Integrating third party services and AI models into production workflows, • Investigating production issues and contributing to root cause analysis, • Collaborating closely with product, operations, and non technical stakeholders, • Participating in code reviews and shaping engineering standards What they are looking for: • Someone who genuinely enjoys building and shipping software frequently, • Strong problem solving ability with a pragmatic engineering mindset, • Comfort owning features end to end from build through deployment, • A bias to action while still caring about scalability and reliability, • Ability to work across the stack or depth in one area with curiosity in others, • Experience with Python based backend systems and modern frontend frameworks They value engineers who focus on outcomes over perfection, who simplify rather than over-engineering, and who take responsibility rather than waiting for instruction. What you can expect: • Meaningful equity, • London based role (hybrid) with regular in person collaboration & opportunities for international travel, • Extensive company benefits This role will suit engineers who want to work close to the product, close to customers, and close to real world impact. If you're looking for ownership, pace, and meaningful software problems, then get in touch at !

Lead Software Engineer – Ruby on Rails - London (Hybrid) | Full-Time FRESH has partnered with a fast-growing B2B SaaS company building a next-generation data platform that delivers real-time insights to support passengers requiring assistance while travelling. They are now hiring a Tech Lead to strengthen the core backend of their Passenger Assistance platform, helping scale customer onboardings faster and reduce backend bottlenecks in feature delivery. This role is an excellent opportunity for someone looking to take the next step into a technical leadership position while remaining hands-on with engineering. Responsibilities: • Own technical direction and architecture decisions within the Rails application, • Design, build, and maintain scalable backend services and RESTful APIs, • Optimise background job processing using Sidekiq, • Help improve onboarding scalability and reduce backend delivery bottlenecks, • Identify technical risks early and balance trade-offs between speed, quality, and scope, • Collaborate within a cross-functional product squad, • Support and mentor engineers through technical leadership and problem-solving Key Requirements: • Strong commercial experience with Ruby on Rails in production environments, • Solid understanding of Rails monolith architecture and full-stack troubleshooting, • Experience building and maintaining RESTful APIs, • Strong knowledge of PostgreSQL, Redis, and Sidekiq, • Comfortable working with AWS infrastructure, • Experience using Docker in development or production environments This is a fantastic opportunity to join a purpose-driven technology business making a genuine impact, while taking a meaningful step into technical leadership within a collaborative and high-growth environment.

Full-time position. Onsite 5 days a week – Chiswick, London. We’re hiring a Senior Optical Engineer to develop custom optics, lens designs and tolerance strategies that move HoloMem’s product development towards production and help bring our ambitious first product to market. About HoloMem - At HoloMem, we’re building the next generation of mass data storage hardware; highly efficient, long life, and ultra durable. Our pioneering and patented holographic technology encodes data as light within advanced polymers, enabling a resilient and future fit alternative to today’s short lived and energy intensive data storage infrastructure. Over the past 24 months HoloMem has graduated from both the Intel Ignite and Deeptech Labs accelerators, been awarded two Innovate UK Smart Grants, closed a seed+ funding round, and most recently deployed a working HoloDrive prototype to a live data centre to prove the robustness of our system. Off the back of our breakthrough partnership with BDT, the world’s largest tape library manufacturer, we now begin the transition from prototype to product, maturing our validated system into a mass-produced technology platform that enables state of the art data storage performance at scale. We have ambitious plans, and we are now scaling up our West London based team to enable them. Join us. What You’ll Be Doing – You’ll work on the optical systems at the heart of HoloMem’s product development, with a core focus on Zemax-based optical design, lens design, tolerance analysis, supplier feasibility, production intent and cost reduction. This is not a purely simulation-based role. You will need to connect optical design decisions to real assemblies, supplier capability, manufacturing constraints, cost, quality and system performance. You’ll help translate product-level requirements into optical performance targets, tolerance budgets and practical acceptance criteria, then use simulation, supplier input and prototype evidence to close the loop between design intent and real-world performance. You’ll work closely with mechanical engineering so that lens mounting, assembly constraints, thermal behaviour and design-for-assembly decisions are treated as part of the optical system, not downstream packaging problems. You’ll take ownership of defined optical work packages, review optical design work constructively, and support technical decisions around performance specifications, quality controls, cost reduction and design risk. The Specifics About the Role - This role is suited to a senior optical design engineer who has worked on lenses, camera assemblies, custom optics or comparable optical systems, and who understands what changes when an optical design has to move towards production. This role is suited to a Senior Optical Engineer who can demonstrate the ability to: • Design, simulate and optimise optical systems using Zemax OpticStudio, • Develop lens designs, custom optics and beam shaping approaches for production-intent optical systems, • Define, analyse and review optical tolerances, including tolerance stack-up effects across optics, mounting and assembly, • Assess how temperature, material properties and mechanical expansion affect optical alignment, focus or system performance, • Translate optical performance needs into specifications, tolerance budgets and acceptance criteria, • Work with mechanical engineers on lens mounting, dense packaging, optomechanical integration and design for assembly, • Connect optical design choices to manufacturability, cost, supplier feasibility and technical quality controls, • Work with optics suppliers on component specification, tolerance feasibility, cost-down and production constraints, • Correlate optical models with prototype data, supplier feedback and assembly evidence, • Use Python to support optical analysis, modelling, data processing or design review, • Review optical design work constructively, challenge assumptions and help improve the quality of technical decisions across the team Who You Are - You are a hands-on optical design engineer who is comfortable working between Zemax models, lens designs, physical assemblies, supplier constraints and cross-functional engineering decisions. You understand that optical performance is not only set by the lens prescription, but by tolerances, mounting, thermal behaviour, assembly process, supplier capability and how the optical system sits inside the product. You state assumptions clearly, expose the risks in a design and make practical recommendations when the information is incomplete. You are confident enough to challenge existing work constructively, but grounded enough to separate real technical risk from personal preference or over-optimisation. You should enjoy working on problems where time, cost, specification, quality and scalability all matter at once. This role will suit someone who has seen optical design move towards production and understands the compromises required to make a system perform reliably outside a clean design file. Required Experience – • Around 3–5 years of relevant industry experience in optical engineering, • Strong experience using Zemax OpticStudio for optical design, simulation, optimisation and tolerance analysis, • Experience with lens design for optical systems, camera assemblies, optical engines or comparable hardware, • Experience with optical tolerancing and tolerance stack-up analysis, • Experience connecting optical design choices to assembly, cost, quality and manufacturability, • Experience assessing how mechanical mounting, material properties or temperature can affect optical performance, • Experience working with optics suppliers on component feasibility, specification, tolerance limits, cost or production constraints, • Experience supporting production-intent development of lenses, camera assemblies, custom optics or similar optical hardware, • Ability to work independently on defined technical work packages, • Strong cross-disciplinary communication with mechanical, systems and hardware engineering teams, • Clear technical documentation and design review discipline Desirable Skills - • Experience taking optical products or subassemblies into production, • Experience with camera module development, lens stack design or imaging system production, • Experience with beam shaping or custom optics design, • Proficiency with Python for optical analysis, modelling, simulation support or data processing, • Experience with dense optical packaging or constrained lens mounting, • Experience with FMEA, risk management or structured design review processes, • Broader production engineering experience outside optics, • Familiarity with safety, quality or production control requirements for optical hardware, • Knowledge of holography or holographic optical systems, • Experience with cost reduction of optical assemblies or custom optical components, • Experience defining performance specifications, acceptance criteria or technical quality controls for optical systems, • Experience supporting supplier selection, supplier review or manufacturability discussions for optics Benefits At HoloMem - • Competitive salary, • 25 days annual leave, • Employer pension contributions, • Cycle-to-work scheme, • A collaborative, knowledgeable team working on deeply technical, world-positive problems How to Apply - Click apply or send your CV to . Show us what you’ve designed, built, or tested. If you’re excited about the mission, even if you don’t meet every requirement, we’d love to hear from you. HoloMem is an equal opportunity employer. We value diversity and are committed to building an inclusive environment for all.

Senior Software Engineer (Python) | Hybrid/London | £85,000 + Equity High-growth InsurTech modernising how underwriting and risk decisions are made. This is a key hire as the business scales its core platform, with backend engineering and AI-enabled workflows central to how the product evolves. The role You’ll own and scale core backend services powering the platform, operating across the full product lifecycle. You’ll design and build high-performance Python services, while helping embed AI into real-world workflows across underwriting, risk processing, and automation. Alongside shipping at pace, you’ll contribute to architectural decisions across services, data models, and how AI is integrated into a production-grade system. Stack: Python, FastAPI, Pydantic, LangGraph, Claude, React, TypeScript, Terraform What you need • Strong experience building production Python backend systems, • Deep knowledge of FastAPI (or similar), async Python, and PostgreSQL, • Comfortable working across the stack when needed, • Cloud experience (AWS, Azure, or GCP) Please apply if you would like to learn more!

£35,000 to 55,000 GBP Bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Job Title: Full Stack Data Engineer / Consulting Engineer (Forward Deployed) Location: London (City of London - Hybrid) Clearance: Active SC Clearance Required Role Overview We are seeking a Full Stack Data Engineer to join a high-impact consulting environment delivering data, analytics, and AI solutions across complex public and private sector organisations. This role sits within a specialist consulting function focused on embedding engineering capability directly within client environments to solve real-world, high-stakes data challenges. You will work as part of a small, highly technical delivery team, acting as a bridge between engineering, analytics, and business stakeholders. The role requires strong hands-on technical capability combined with the ability to operate in client-facing environments and translate complex requirements into scalable data products and applications. This is a forward-deployed consulting position, requiring adaptability, ownership, and the ability to deliver iteratively in fast-moving, often sensitive environments. What You'll Do • Full-stack data delivery: Build and maintain end-to-end data solutions using Python, SQL, and modern data engineering practices, including ETL pipelines, data modelling, and analytics workflows, • Application development: Support development of user-facing tools and dashboards using modern frameworks such as TypeScript and React where required, • Data platforms: Work across enterprise data platforms (including low/no-code environments such as Palantir Foundry or equivalent) to integrate, transform, and operationalise complex datasets, • Client-facing delivery: Work directly with stakeholders to understand requirements, translate technical outputs into business insight, and support decision-making in real time, • AI & analytics enablement: Support the integration of AI/ML capabilities into live systems and workflows to improve automation, detection, and insight generation, • Iterative delivery: Build and refine solutions based on live client feedback, maintaining an agile, backlog-driven approach to development, • Knowledge sharing: Contribute to internal engineering communities through demos, reviews, and continuous improvement practicesWhat We're Looking For, • Background in consultancy or client-facing data engineering / analytics roles, • Strong hands-on experience with Python, SQL, and exposure to data engineering concepts (ETL, data modelling, pipelines), • Experience with or ability to quickly pick up TypeScript / React / modern front-end tooling, • Exposure to enterprise or regulated environments (public sector, financial services, defence, or similar), • Active Security Clearance (SC) is essential, • Strong communication skills with the ability to translate technical concepts for non-technical stakeholders, • Comfortable working in ambiguous, fast-paced environments with evolving requirements, • A proactive, delivery-focused mindset with strong problem-solving abilityNice to Have, • Exposure to AI/ML workflows or applied data science in production environments, • Experience working within defence, public sector, or financial crime / risk domains

GenAI Full Stack Engineers (Multiple Hires) • Location: London (Hybrid, 2 days per week in office), • Salary: £55,000 to £85,000 + Bonus + Benefits, • Type: Permanent, • Hiring: Mid Level and Senior Engineers About the Company We are partnering with a leading digital transformation and technology consultancy that helps organisations solve complex business challenges through cutting edge technology, AI and data driven solutions. This is an exciting opportunity to join a growing team focused on building next generation Generative AI applications and scalable full stack solutions. Due to continued growth and project demand, we are hiring multiple engineers across mid level and senior positions. Salary Bands • Mid Level GenAI Full Stack Engineer: £55,000 to £70,000, • Senior GenAI Full Stack Engineer: £75,000 to £85,000 + £4,000 Bonus The Role As a GenAI Full Stack Engineer, you will play a key role in designing, building and scaling AI powered applications. You will work across the full development lifecycle from proof of concept through to production deployment, delivering innovative solutions for complex client challenges. You will build Generative AI proof of concepts using modern frameworks and scale prototypes into production ready applications. You will design and develop full stack applications across both GenAI and traditional software projects while working closely with cross functional teams. Senior engineers will also contribute to architecture decisions, mentor junior engineers and help shape best practices across the engineering team. Required Skills and Experience • Backend development using Python with FastAPI or TypeScript with Node.js or Express, • Experience building microservices architectures, • React and TypeScript front end development experience, • Familiarity with Next.js or Vite, • Experience with Generative AI frameworks such as LangChain, LangGraph or CrewAI, • Experience working with Large Language Models such as OpenAI, Anthropic, Llama or Mistral, • Exposure to Retrieval Augmented Generation or AI agents is beneficial, • Experience with AWS or Azure, • Docker and containerisation experience, Kubernetes beneficial, • Experience with CI CD pipelines using GitHub, GitLab or Jenkins For Senior Candidates • Experience leading technical delivery or owning solutions end to end, • Experience contributing to architecture and engineering decisions, • Mentoring or supporting junior engineers, • Experience delivering production grade GenAI applications Eligibility • Must be eligible to work in the UK, • Must be eligible for UK Security Clearance This is a fantastic opportunity to join a fast growing team working on cutting edge Generative AI solutions with strong career progression opportunities at both mid and senior level. Apply now to learn more.

About Indicium AI Indicium AI was Anthropic’s first European launch partner - and sits among a handful of organisations globally trusted by Anthropic to deploy Claude at enterprise scale. We are also one of the first four OpenAI partners in the UK, and Databricks Ventures has invested in our business and holds a seat on our board. Our engineers have access to the latest AI tools and models, partner technical teams, and early capability previews that the wider market does not. We are deploying production AI systems into the world's most complex organisations across Financial Services, Energy, and Healthcare. We exist to make AI a genuine competitive advantage for our clients, not in a presentation but in production. We invest seriously in our people. Every FDE at Indicium AI has access to Anthropic training, and a flexible learning budget to go with it. All of our staff are equipped with Claude licenses for Chat, CoWork and Claude Code. We are building a team of engineers who are at the frontier - and we support that with the investment to match. The Role AI is not just changing what software can do - it is changing how software gets built. The best engineering organisations in the world are rewriting their operating models around AI native development: Claude Code in every workflow, agents across the SDLC, and a fundamentally different relationship between engineers and the tools they use. Most enterprises know this matters. Very few know how to make it work. The Forward Deployed Software Engineer at Indicium AI embeds directly with client engineering teams to transform how they build software. You do not wait for a brief. You watch how a team actually works, find the problems they have not articulated yet, and ship the changes that make AI native engineering real - not as a presentation, but in their daily workflows and production pipelines. This is a role for an experienced software engineer who is passionate about how AI is transforming the craft of software engineering. You will help organisations redesign their engineering capability - from how they use Claude Code and agentic tooling, to how they structure teams, review code, test, and ship. Then you will co-engineer alongside their teams to integrate these new ways of working into their product engineering workflows. You will lead engagements at some of the most complex organisations in the UK. Technically, commercially, and in the room with engineering leaders who have built serious systems and are not easily impressed. What You Will Do • Lead engagements that transform how enterprise engineering organisations build software - from discovery and assessment through to embedded co-engineering and operational handover, • Design and implement AI native development workflows: Claude Code integration, agentic coding assistants, AI-augmented testing, automated code review, and intelligent CI/CD pipelines, • Define and roll out operating models for AI native engineering across client organisations - covering tooling, process, team structure, and best practice at scale, • Co-engineer with client product engineering teams, working shoulder to shoulder to integrate new ways of working into their existing codebases and delivery cadence, • Own the client technical relationship at senior engineering leadership level - you are the person the VP Engineering or CTO calls, not one of the people copied on the email, • Navigate organisational complexity - procurement, security, resistant teams, shifting priorities - without losing delivery momentum, • Identify and shape new opportunities within existing client relationships - commercial awareness is part of the role, not separate from it, • Codify repeatable patterns and playbooks for AI native engineering transformation that let the practice scale beyond individual engagements, • Mentor engineers on your engagements and raise the bar for the practice through knowledge sharing, • Work alongside Anthropic field teams on joint client engagements - representing Indicium AI at the highest level What We Are Looking For • 5+ years as a software engineer with strong production experience - you have built and shipped real systems, not just advised on them, • Deep passion for how AI is transforming software engineering - you are already using Claude Code, Copilot, or agentic development tools daily and have a clear view on where this is heading, • Experience in a client-facing technical role - forward deployed engineering, technical consulting, solutions architecture, or engineering leadership with external stakeholders, • Strong proficiency in modern software engineering stacks - Python, TypeScript, or Java - with comfort across cloud platforms (AWS, Azure, GCP), • Experience driving engineering process change or transformation within organisations - you have helped teams adopt new tools, practices, or ways of working at scale, • Genuine enterprise experience - you have navigated the realities of large engineering organisations: legacy systems, compliance requirements, multi-team coordination, and stakeholder management, • High agency - you do not wait to be told what to do in an ambiguous situation, you make a call, communicate it, and deliver, • Vertical depth in at least one of Financial Services, Energy, or Healthcare - enough to be a credible peer, not just a technology generalist Nice to Have • Experience with MCP server development, Claude Code enterprise deployment, or AI agent integration into development workflows, • Track record of defining engineering best practice or developer experience within a scaling organisation, • External presence - writing, speaking, or community contribution in the software engineering or AI tooling space, • Experience working alongside or within partner ecosystems such as Anthropic, Databricks, or AWS Why Indicium AI Access to leading AI Labs: Anthropic’s first European launch partner. One of the first four OpenAI UK partners. Databricks Ventures invested and on our board. Our engineers work with capabilities before the wider market does and work jointly with teams from leading AI Labs on customer delivery. We are builders: We embed, we architect, we build - and we stay until it works. Our engineers make real decisions on live systems, for clients in industries where getting it wrong has consequences. There are no layers between you and the work. Problems worth solving: No two engagements are the same. The variety and complexity of enterprise AI problems at Indicium AI is something a product company simply cannot offer. If you want engagements that test every dimension of what you can do, this is where they are. Investment in staying at the frontier: The best engineers we know are relentlessly curious - and we build an environment that supports learning and growth. Every engineer has access to leading AI training and tools, career development pathways, and a flexible L&D budget. We think that’s how it should be.

GenAI Full Stack Engineer - Managing Consultant Salary: £80,000 - £88,500 pa + £8,000 Bonus plus benefits, perks and healthcare options Job Type: Permanent - Hybrid / 2 x days per week - Travel to client site Base Locations: London, Manchester, Newcastle, Glasgow Overview: We’re looking for a GenAI Full Stack Engineer who is passionate about solving real-world challenges through technology. You’ll work closely with senior stakeholders both internally and within key clients to create GenAI strategies that translate business issues into relevant technical solutions and competitive propositions that are scalable, secure, and sustainable. Your Role: • Collaborate with the team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents., • Scale existing POCs to production-ready solutions for customer use., • Design and develop Full Stack applications for both GenAI and non-GenAI projects., • Support the development of infrastructure to enable robust end-to-end solutions., • Grow your skills by exploring and experimenting with emerging technologies, including GenAI. Your skills and experience: • Backend Development: Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent, • Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite., • GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript)., • LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama., • Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment., • Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose., • Infrastructure as Code (IaC): Exposure to tools like Terraform., • Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar., • CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins., • Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc., • NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred)., • SQL: Experience working with SQL databases like PostgreSQL., • Proficient in Git and version control platforms like GitHub, GitLab, etc. To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. If you’re ready to take the next step in your career and thrive in a fast-paced, innovative environment, we want to hear from you! Please send updated CV to

Senior Software Engineer – AI / Agentic Systems London (Hybrid) We’re partnering with a cutting-edge AI startup redefining how intelligent systems operate at scale. Their mission is ambitious: to push the boundaries of agentic AI and build platforms that automate complex, multi-step human workflows—unlocking entirely new levels of productivity. This is an opportunity to join early, work alongside world-class AI talent, and directly shape a platform sitting at the intersection of research and real-world deployment. The Opportunity As a Senior Software Engineer, you’ll play a key role in building and scaling an enterprise-grade AI platform. You’ll operate at the core of the product engineering function—designing systems that power autonomous agents, orchestrate workflows, and enable observability at scale. This is not just another backend role. You’ll influence architecture, mentor engineers, and help define the technical direction of a rapidly growing AI company. What You’ll Be Doing • Own and drive system architecture and long-term technical strategy, • Build high-performance, scalable backend systems powering AI-driven workflows, • Lead design and code reviews, ensuring high standards of quality and security, • Collaborate closely with AI research, product, and infrastructure teams, • Improve system reliability, observability, and scalability, • Mentor engineers and act as a technical multiplier across teams, • Champion best practices, tooling, and engineering excellence, • Proactively identify and resolve technical debt What they are Looking For Core Experience • 5+ years in backend engineering, ideally at Senior level, • Strong experience with Python and/or Golang, • Proven track record building and scaling distributed systems or cloud-native platforms (AWS preferred), • Experience delivering end-to-end solutions in production environments Technical Skills • API development (REST / GraphQL) and third-party integrations, • Strong knowledge of databases (SQL & NoSQL), • Experience with event-driven systems / messaging (Kafka, RabbitMQ, SQS, etc.), • Solid understanding of system design, architecture patterns, and testing frameworks, • Hands-on experience with monitoring, observability, and instrumentation Leadership & Impact • Strong mentoring capability—raising the bar across teams, • Ability to communicate across technical and business stakeholders, • Confident leading complex technical decisions with long-term vision Working Model • Hybrid: 3 days per week onsite (London), • Occasional travel between offices (every 4–6 weeks) Why This Role? • Join one of the most exciting AI startups in Europe, • Work on agentic AI systems at real scale—not just theory, • Collaborate with top-tier engineers and researchers, • Significant ownership and influence from day one, • Strong compensation + rapid career growth opportunities

Software Engineer - Tech for good! Location: London, hybrid working (2-3 days p/w in the office) Salary: £80-100k + equity potential Industry: Medical grade AI HealthTech Immersum is supporting a fast-growing AI HealthTech business building advanced products within a highly regulated, real-world environment. Their products are used by clinicians and the ambulance service positively impact the lives of people every day. Backed by strong commercial traction and entering a major growth phase, the company is investing heavily in its engineering teams as it scales both its platform and product offering internationally. This is an opportunity to join a product-led engineering environment where technology decisions have direct customer impact and engineers are encouraged to contribute to both product direction and technical execution. We are looking for strong Software Engineer who care as much about the user problem as the technical implementation. You’ll join a collaborative product squad working across modern frontend applications, backend services and distributed systems in a fast-moving environment where shipping quality software matters. The Role: You will work closely with Product, Design and Engineering teams to build and deliver customer-facing features across the full technology stack. The role combines hands-on software engineering with strong product collaboration and ownership, giving engineers the opportunity to influence both technical decisions and user outcomes. You’ll contribute to scalable applications and backend services, help shape engineering best practices and work within a modern cloud-native infrastructure environment. The business operates within a regulated sector, meaning reliability, quality and security are critical components of software delivery. This role would suit engineers who enjoy ownership, autonomy and solving complex real-world problems within a high-growth technology business. Responsibilities: • Build and ship full stack product features across frontend and backend systems, • Collaborate closely with Product Managers and Designers to deliver high-quality user experiences, • Develop scalable APIs and backend services, • Contribute to modern frontend applications using React and TypeScript, • Work within cloud-native and distributed systems environments, • Support engineering quality, reliability and operational best practices, • Participate in architecture and technical design discussions, • Contribute to continuous delivery and deployment processes, • Work across event-driven systems and asynchronous workflows where appropriate, • Help improve internal engineering standards, tooling and development workflows, • Operate effectively within a regulated software delivery environment Experience: • 3-5+ years of commercial in Software Engineering, • Strong frontend development experience with React and TypeScript, • Backend development experience using Node.js, NestJS and/or Python/FastAPI, • Experience building and shipping production-grade software, • Strong understanding of distributed systems and scalable application design, • Experience working closely with Product and Design teams, • Strong problem-solving and communication skills, • Experience operating within Agile software development environments, • Understanding of cloud infrastructure and modern deployment practices Desirable: • Experience working within regulated industries or compliance-focused environments, • Experience with healthcare, fintech or other high-availability systems, • Familiarity with infrastructure-as-code and Terraform, • Experience with event-driven architecture patterns, • Exposure to cloud platforms such as GCP or AWS, • Experience with containerised environments and Kubernetes, • Understanding of CI/CD, GitOps or automated deployment tooling, • Experience integrating with third-party platforms or APIs Tech Environment: • TypeScript, • React, • Node.js / NestJS, • Python / FastAPI, • PostgreSQL, • Redis, • Cloud-native infrastructure, • Kubernetes, • Event-driven systems, • Infrastructure-as-code What’s on Offer: • Competitive salary and potential equity participation, • Modern engineering environment with strong technical ownership, • High-impact product work solving meaningful real-world problems, • Hybrid working with a collaborative office culture, • Latest equipment and tools, • Clear progression opportunities as the engineering function scales, • The opportunity to work on products with visible customer impact every day

The Role We’re looking for a hands-on Data Engineer to join a growing data team working across AdTech / MarTech. This role is focused on building and optimising data pipelines and models within Snowflake, working with large-scale marketing and media datasets across multiple platforms. You’ll play a key role in shaping how data is ingested, transformed, and structured for analytics and activation, working with complex, often messy datasets from across the media ecosystem. What You’ll Be Doing • Build and maintain data pipelines into Snowflake using modern ELT practices, • Develop scalable data models and views using dbt, • Ingest and integrate data from multiple marketing platforms (APIs, batch, streaming), • Work with datasets from DSPs, paid social, and search platforms, • Blend and transform data across multiple sources into unified datasets, • Ensure data quality, integrity, and reliability across pipelines, • Troubleshoot and optimise existing pipelines and workflows, • Support downstream use cases including BI dashboards and analytics Must-Have Skills • Strong hands-on experience with Snowflake (building views, tables, data models), • Proven experience using dbt in production environments, • Advanced SQL skills, • Experience with Python for data processing, • Working knowledge of AWS (S3, Glue, Lambda or similar) Domain Experience (Critical) • Background in Media, AdTech, or MarTech environments, • Experience working with data from:, • DSPs (e.g. DV360, The Trade Desk), • Paid Social (Meta, TikTok, LinkedIn Ads), • Google Ads, • Strong understanding of how marketing data flows end-to-end What We’re Looking For • Experience building end-to-end data pipelines, • Strong exposure to API-based data ingestion, • Experience handling large, messy, and fragmented datasets, • Ability to create clean, structured datasets for reporting and analytics, • Comfortable working in a fast-paced, evolving data environment Nice to Have • Experience with Airflow or Dagster, • Working with JSON / semi-structured data, • Familiarity with CI/CD pipelines and Git Why Join • Work with high-volume, real-world marketing data across multiple platforms, • Opportunity to own and shape data models and pipelines, • Exposure to modern data stack (Snowflake + dbt + cloud), • Fast-paced environment with strong growth and learning opportunities

Exciting opportunity at one of the fastest growing financial services firms around the world. They offer prime brokerage, clearing and financing across traditional and digital assets, and are now looking to hire world-class engineers to help build on their success. In this role within the AI Automation team, you will design and deliver AI-driven automation solutions that streamline and enhance complex business processes across customer, operations, compliance, legal, finance, and other workflows. You'll build scalable automation services to reduce manual effort, improve accuracy, and unlock new operational capabilities. This will involve partnering with engineering teams, and collaborating closely with product managers, technical program managers, and business architects. This role offers meaningful ownership and business-wide impact. The successful AI Automation Engineer will have outstanding communication skills, with a cross-functional, collaborative mindset. Skills & Experience Required • 5+ years' experience in software engineering, workflow automation, process automation, or applied AI, • Strong proficiency in Python, • Demonstrated experience delivering production-grade automation (not just prototypes or POCs), plus integration of AI/ML capabilities into real business workflows, • Experience working with databases or data warehouses to support automation use cases, • Experience integrating automation with collaboration and productivity platforms (e.g. messaging, knowledge management, ticketing/workflow tools), • Ability to design and implement context and data integrations through APIs, events, or protocols (including MCP where applicable), • Experience in fintech, capital markets, or digital asset platforms is a plus Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful. Contact If you feel you are suitable for this role, don't hesitate to get in touch: Jack Peck [e] [t] +44 20 3745 6537 linkedin.com/in/jack-peck-448a70131/

Senior Platform Engineer (GCP/Kubernetes/Terraform) - Hybrid (London - 2/3 days onsite per week) - (£500-600/DAY OUTSIDE IR35) We are currently supporting a cutting-edge AI software company scaling their platform infrastructure across enterprise clients in highly regulated environments. They’re looking for a Senior Platform Engineer to join on a subcontractor basis as the first dedicated infrastructure hire, helping build and automate a secure, multi-tenant cloud platform from the ground up. Tech Stack: • GCP/GKE, • Kubernetes, • Terraform, • Helm, • Docker, • CI/CD, • IAM/Security/Observability Key Experience: • Production-grade Kubernetes platforms, • Multi-tenant infrastructure, • Infrastructure as Code, • Secure enterprise SaaS deployments, • Monitoring, scaling & automation, • Strong cloud security fundamentals Hybrid/Remote – preference for London-based engineers 6-month initial contract with high likelihood of extension £500–600/day Outside IR35 Great opportunity for an experienced platform engineer who enjoys solving complex infrastructure and security challenges within AI/LLM environments.

Lead Machine Learning Engineer Location : London Days in office : 2 days onsite Contract length : 6 months Contract engagement: inside IR35 We are looking for a Lead Machine Learning Engineer (SageMaker, MLOps, Explainability) to design, build, and productionise machine learning models that power our new matching platform. You will work across the full ML lifecycle - feature engineering, model development, training pipelines, deployment automation, inference optimisation, monitoring, and explainability. In this role, you will make strong hands-on technical contributions, take ownership of key components of the ML platform, and collaborate closely with data scientists, platform engineering, and product teams. You will help improve our MLOps practices, enhance observability, and ensure that our ML systems meet standards for security, performance, and compliance. This role is suited to an experienced engineer who can deliver production-grade ML systems, influence design decisions, and maintain high technical standards, while still working primarily as an individual contributor. Feature Engineering • Build and maintain scalable feature pipelines within data lakehouse architectures., • Develop fallback feature flows (e.g., export paths)., • Develop ranking, scoring, and entity-similarity models fit for the matching platform., • Implement calibrated confidence scores, thresholds, and model scoring logic., • Use modern ML Model frameworks such as PyTorch, TensorFlow, or XGBoost. • Apply SHAP or similar techniques to generate interpretable model explanations., • Produce reason codes suitable for business, operational, or regulatory consumption., • Ensure explainability outputs are versioned, tested, and integrated into inference workflows. ML Deployment & MLOps • Build and maintain training, processing, and inference pipelines using AWS SageMaker., • Integrate models with model registries and implement automated deployment patterns., • Support rollback and redeploy mechanisms for weight updates or model iterations., • Deploy and optimise low-latency, real-time inference endpoints., • Implement secure AWS IAM patterns supporting cross-account inference access., • Build telemetry for request logging, performance tracking, and latency monitoring., • Implement feature drift and concept drift monitoring., • Build dashboards, alerts, and critical performance metrics to detect model degradation., • Apply procedures for data handling, encryption, PII minimisation, and auditability., • Produce Model Cards, documentation, and lineage artefacts needed for governance., • Conduct validation of models using golden datasets, baseline tests, and regression testing., • Optimise models for latency-sensitive inference paths., • Strong experience delivering production ML systems end-to-end., • Proficiency with AWS SageMaker (training jobs, processing, endpoints, Model Registry)., • Excellent Python skills and experience with ML Models such as PyTorch, TensorFlow, or XGBoost., • Hands-on experience with model explainability tools such as SHAP., • Understanding of low-latency, real-time inference patterns and optimisation techniques., • Experience implementing drift detection, monitoring, and telemetry., • Working knowledge of ML governance, data privacy, and secure ML practices., • Experience working with feature stores or Lakehouse data architectures., • Previous experience with ranking, matching, or similarity models., • Familiarity with cross-account AWS IAM patterns and multi-account design., • Bachelors in a STEM subject, e.g. mathematics, physics, engineering, computer science, or adjacent, • degrees.

Python Engineer – Asset Manager (Contract, Remote) An asset manager is running several automation initiatives across their business and are looking for a Python Engineer to assist in the build of an application and data platform. You will work across several middle and back-office systems areas, building enterprise-grade production applications and data pipelines in Python. • 4+ years in Python developing enterprise production-grade applications/systems within financial organisations, • Exposure to financial products and their trade lifecycle (equities, fixed income), • Modern data architecture understanding (Snowflake ideal but not required), • Strong communication skills (you will face off to the front office), • Degree educated or higher in computer science, engineering or similar This is a £420-460/day PAYE (employers NI paid in addition to this rate), based London initial for six months. Remote.

Job Title: System Support Engineer Location: London Contract Length: 6months (rolling up to 2 years) Pay rate: Between £416 - £490 pwd Umbrella. A leading global investment bank is seeking a System Support AVP to join its technology function in London. This role sits within a core engineering team responsible for supporting and maintaining critical internal systems across the organisation. The Role You will play a key role in supporting production systems, ensuring stability, performance, and rapid issue resolution. This is a hands-on role combining technical troubleshooting, stakeholder communication, and continuous improvement of support processes. You’ll work closely with development teams, infrastructure, and global support teams (including London and New York) to diagnose issues, identify root causes, and implement effective solutions. Key Responsibilities • Troubleshoot and resolve production system issues across Windows servers, SQL Server, and Oracle environments, • Perform root cause analysis and implement fixes (code, SQL scripting, configuration), • Liaise with internal teams (Infrastructure, Network, DBA, Helpdesk) and external stakeholders, • Provide clear communication and updates to business users and support teams, • Support application releases and ensure smooth deployment into production, • Contribute to system stability, scalability, and security improvements, • Participate in an out-of-hours support rota, • Maintain accurate documentation, ticketing, and incident reporting, • Support disaster recovery environments and non-production systems Requirements • Strong experience in application/system support within enterprise environments, • Hands-on knowledge of SQL (T-SQL or PL/SQL), • Experience with Windows Server environments and database systems, • Proven ability to troubleshoot complex production issues, • Strong communication skills with both technical and non-technical stakeholders, • Experience working in banking or regulated environments is highly desirable Why Apply? • Opportunity to work in a global, enterprise-scale environment, • Exposure to business-critical systems and production support, • Collaborative, international team across multiple locations, • Strong mix of technical depth and stakeholder engagement We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon/Adecco is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone’s chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.

Artificial Intelligence Engineer McCabe & Barton London Area, United Kingdom (Hybrid) Save Apply AI Engineer - Agentic AI & LLM Solutions Leading Investment House | London/Hybrid | Contract | Competitive Day Rate About the Opportunity We are seeking an experiencedAI Engineer to join a leading global investment house embarking on an ambitiousAI transformation programme . This is a high-impact contract role focused on buildingend-to-end agentic AI and LLM-based solutions that solve real business problems across trading, operations, research, and front-office functions. You'll work directly with business stakeholders to understand workflows, design intelligent automation solutions, and rapidly prototype working AI systems that deliver measurable value. Key Responsibilities: AI Solution Design & Delivery • Buildend-to-end agentic AI and LLM-based solutions from concept to deployment, • Design AI architectures that map toreal business problems in investment banking, • Rapidly prototype and iterate AI solutions based on stakeholder feedback, • Move quickly from business brief to working solution - velocity is critical, • Engage directly withbusiness stakeholders (traders, analysts, operations, research teams) to understand workflows and pain points, • Translate business requirements intoAI solution designs, • Demonstrate AI capabilities and educate stakeholders on art-of-the-possible, • Gather feedback and iterate solutions based on real user needs, • Develop robustPython-based AI applications and agent systems, • Integrate LLM capabilities (OpenAI, Anthropic, Azure OpenAI) into business workflows, • Build agentic AI systems that can reason, plan, and execute multi-step tasks, • Implement RAG (Retrieval-Augmented Generation) pipelines for domain-specific knowledge, • Work with vector databases and enterprise data sources, • Stay current with rapidly evolving LLM and agentic AI landscape, • Recommend appropriate AI frameworks and tools for different use cases, • Establish best practices for responsible AI deployment in regulated environment AI & LLM Expertise • Proven experience building end-to-end agentic AI or LLM-based solutions in production environments, • Deep understanding ofLLM capabilities and limitations - knows when AI is (and isn't) the right solution, • Experience designingAI solutions that map to real business problems , not just technical demos or proof-of-concepts, • Strong Python development skills - production-quality code, not just notebooks, • Ability to architect and buildcomplete AI applications end-to-end, • Experience integrating AI capabilities into existing enterprise systems LLM & AI Frameworks • Experience with specificLLM providers (OpenAI, Anthropic, Azure OpenAI), • Familiarity withagent frameworks such as LangChain, LlamaIndex, AutoGen, or similar, • Experience buildingmulti-agent systems and orchestration workflows, • C# / .NET background for enterprise integration in financial services, • Experience withRAG pipelines and vector databases (Pinecone, Weaviate, ChromaDB, etc.), • Understanding ofembedding models and semantic search, • Knowledge offine-tuning and model customization approaches

Venesky Brown is currently looking for a Project Controls Manager to join the team at the Sizewell C nuclear new build in Suffolk. This is a long-term contract role based in either the London or Suffolk office with hybrid working available. Travel to Paris will also be required as part of this role. Principal Accountabilities: • Responsible for either the complete Project Controls activities for a discrete area of scope or supporting Programme Controls Managers in the wider delivery of Project Controls activities. Deputy to ProgCM., • Responsible for liaising with the supply chain and the assurance of their Project Controls information, • Co-ordination of Project Controls Functions to ensure the delivery of integrated Project Controls management information., • To support the Programme Controls Manager with progress reporting including schedule updates, forecast to complete, variance identification and opportunities for improvement., • Accountable for the on-time production and quality of month end Performance Reports, • Help ensure SZC is viewed by the Construction Industry as an exemplar in Project Controls through knowledge sharing, networking and delivering presentations to the sector., • Management of senior stakeholders related to the scope being controlled or within SZC. Knowledge, Skills, Qualifications, Experience Essential • All items detailed above in the Job Purpose and accountabilities section., • Degree or equivalent qualification in business analysis, accounting, finance, construction, engineering or project management, or related technical field., • A track record of working as a Project Controls Engineer or Manager on large and complex infrastructure projects for a minimum of 15 years., • Experience of working within more than one of the Project Controls Functions of: cost control, estimating, scheduling, change management and risk management., • Detailed understanding of earned value analysis & application to various contract types., • Experience of integrated project controls & change control & drumbeat., • Experience of successfully managing a team in a matrix structure on a project., • Experience with increasing responsibility showing an ability to manage senior stakeholders., • Deliverables focused and an accomplished problem solver, rising to meet any challenge., • Excellent presentation, influencing and facilitation skills., • Exceptional interpersonal and communication skills. Desirable • Active membership of AACE, PMI, APM or similar association with association certifications., • User of a range of reporting and analytics software and project controls systems particularly Power BI., • Understanding of various contract types, in particular the NEC suite and FIDIC., • Experience in the Nuclear sector Job Purpose / Overview SZC Project Controls will serve as a centre of excellence, managing and strategically using delivery performance management information. Our team will enable successful delivery of SZC Project through proactive Project Controls that drives forward-looking solutions to continuously improve performance. As a Project Controls Manager or Engineer, you will be working within either the Project Management Office (PMO) or the Delivery Programmes. The post holder will be ultimately responsible for either the complete Project Controls activities for a discrete area of scope or supporting Programme Controls Managers in the wider delivery of activities that support the Project Controls Execution Plan which ensures we operate and deliver controls within the SZC governance structure, organisation and delivery model. They will ensure Project Controls activities being carried out in an efficient manor in accordance with calendars and deadlines established on SZC. They will be proactive in their approach to driving innovation which will support Project Controls activities on SZC being ‘Digital by Default’. The candidate should have experience of working on a large-scale project environment and they will have experience of working in multiple Project Controls functions and understand how integrated Project Controls management information is achieved. This knowledge and their previous experience on major programmes and projects will enable them to assure and challenge outputs produced by the various project controls functions. They will be able to write and edit reporting narrative, so that reports all have a consistent style, and the narrative answers the ‘So What?’ question for Managers and Leadership. They will have experience of working with the supply chain, multi discipline teams and senior leadership to ensure that Project Controls activities are carried out effectively. They will also be comfortable to run month end Performance Reviews for their scope or cover the month end reviews for the Programme Controls Managers when required. They should be able to demonstrate their ability to handle multiple Project Controls activities, tasks or one of exercises that might be asked of them and ensure they can prioritize these for successful delivery. Vacancy Overview: Are you looking for a career which is rewarding, at the cutting edge of project development and where you can really make a difference? Come and join our expanding Sizewell C (SZC) team and work on one of the most exciting and largest megaprojects in the UK, whilst being at the forefront of the UK’s climate change agenda and energy policy. Following on from the success of Hinkley Point C (HPC), the SZC Project is a nuclear new build project in Suffolk, which has obtained planning approval and Government financing support. The project has started construction and is now seeking private investment. When completed, it will provide dependable electricity to 6 million homes for 60 years, which along with renewables, will support Britain to achieve Net Zero by 2050.

Overview: TekWissen Group is a workforce management provider throughout the UK, Europe and many other countries in the world. The client below is a global professional services company with leading capabilities in digital, cloud, and security. Combining unmatched experience and specialized skills across more than 40 industries Role: AI Native Software Engineer Location: London, UK Work type: Hybrid Duration: 6 Months Job Summary: • We are seeking a hands‑on AI Native Software Engineer to design, build, and deploy production‑grade AI‑driven systems within complex enterprise environments., • In this role, you will focus on agent‑based architectures, AI platform integration, and cloud‑native development, delivering scalable, reliable solutions that power real business workflows. Core Duties • Design, implement, and maintain AI agent workflows, including retrieval‑augmented generation (RAG), orchestration, tool/function invocation, and policy‑based routing, • Build cloud‑native backend services and APIs to support AI‑driven applications and enterprise integrations, • Implement evaluation, monitoring, and observability frameworks to ensure accuracy, latency, reliability, and system health across AI agent lifecycles, • Production‑ready AI‑powered applications aligned to defined business workflows and enterprise standards, • Scalable multi‑model and multi‑provider AI architectures, including abstraction layers for provider flexibility, • Fully deployed cloud‑native services using microservices, containers, and serverless or event‑driven patterns, • Microsoft Office (Excel, Word, Outlook, Teams), • AI Platforms & Models: OpenAI, Anthropic (Claude), Google Vertex AI, and select open‑source models, • Agent & Orchestration Frameworks: LangGraph, AutoGen, CrewAI (or similar), • Cloud & DevOps Tooling: Docker, Kubernetes, Terraform, Helm, CI/CD pipelines, • Build real, enterprise‑grade AI systems that move beyond experimentation into production, • Remain deeply technical in a 100% hands‑on engineering role with no people‑management responsibilities, • Work with modern AI platforms, multi‑model architectures, and cloud‑native technologies, • Focus on high‑impact delivery with clear scope, measurable outcomes, and implementation ownership, • Bachelor’s degree in Computer Science, Engineering, or a related technical field or equivalent practical experience, • 8–10+ years of professional software engineering experience with ownership of production systems, • 3+ years of hands‑on experience building and deploying AI/LLM‑based systems in production (agents, RAG pipelines, orchestration), • Strong experience designing and delivering cloud‑native systems, including APIs, microservices, containers, and serverless or event‑driven architectures, • Proficiency in Python, Java, or comparable backend languages, • Hands‑on experience with CI/CD pipelines, infrastructure as code, and monitoring or observability tools, • Experience with agent frameworks such as LangGraph, AutoGen, CrewAI, or similar, • Experience designing multi‑agent or distributed AI systems, • Familiarity with multi‑model and multi‑provider AI architectures, • Experience integrating AI solutions into enterprise‑scale systems or platforms, • This is a 100% hands‑on engineering role with no people‑management responsibilities, • Strong problem‑solving skills and technical judgment in complex enterprise environments, • Ability to collaborate effectively with internal and client engineering teams, • Comfortable working within existing architecture standards, security requirements, and engineering best practices

Job Title: Front End Engineer - AI Location: Remote / Onsite / Hybrid Job Type: Full-time / Contract About the Role We are seeking an experienced and forward-thinking Front End Engineer to join our AI Ops delivery team. In this role, you will lead the design, development, and delivery of GenAI-powered agentic systems that automate complex business processes across domains such as HR, Payroll, SAP, and Client Delivery. You’ll serve as the technical lead within a Business/Core Pod, responsible for mentoring engineers, shaping solution architectures, and ensuring delivery excellence. This role combines deep hands-on engineering with architectural ownership and close collaboration with product managers and domain experts. Key Responsibilities • Own the technical design and architecture of GenAI agent workflows within the Business Pod, • Serve as a hands-on developer, actively contributing to the design, coding, and delivery of production-grade agents and tools, • Lead code and design reviews, ensuring alignment with architectural standards and platform best practices, • Collaborate with the AI Ops Core Pod to adopt and influence reusable assets, frameworks, and integration patterns, • Design and implement LLM-powered agent workflows using frameworks such as LangChain, LangGraph, or CrewAI, • Develop prompt chains, agent tools, and custom modules that support reasoning, summarization, and multi-step task execution, • Integrate agents with enterprise systems (e.g., Workday, SAP, Salesforce) via REST APIs, SDKs, or message queues, • Build and manage agent lifecycle components, including initialization, memory/state handling, and fallback logic, • Implement and consume vector store integrations, prompt templates, and retrieval-augmented generation (RAG) techniques, • Ensure workflows are robust, secure, and observable, with proper logging, monitoring, and exception handling, • Partner with Product Managers, SMEs, and QA to translate business processes into agentic workflows and iterate based on feedback, • Contribute to the automation of testing, deployment, and validation pipelines for AI agents, • Maintain thorough documentation of agent behavior, design decisions, and integration logic for operational readiness and knowledge transfer Preferred Qualifications • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field, • 4+ years of experience in developing and deploying production-grade AI/ML or automation solutions, • Strong proficiency in Python, with hands-on experience using FastAPI, REST APIs, and background task orchestration, • Deep familiarity with agentic frameworks such as LangChain, LangGraph, CrewAI, ReAct, or similar, • Understanding of LLM orchestration, including prompt design, tool usage, context management, and agent memory, • Experience integrating with enterprise systems via APIs, event/message queues (e.g., Kafka, Service Bus), and webhooks, • Solid foundation in distributed system design, including state management, retries, error handling, and resilience, • Experience with business process automation or workflow automation in real-world environments, • Comfortable working with SQL/NoSQL databases, including data modeling and validation, • Knowledge of containerization (Docker), orchestration platforms (Kubernetes), and deployment to cloud platforms (Azure, AWS, or GCP), • Understanding of security concepts including authentication (OAuth2), authorization, and secure API integration, • Exposure to multi-agent patterns (e.g., supervisor-worker, planner-executor, judge-critic) is a strong plus Nice to Have • Contributions to open-source agent frameworks or AI tooling., • Experience working with observability and monitoring tools to track agent performance., • Exposure to knowledge graphs, memory management systems, or retrieval-augmented generation (RAG) pipelines.

Salary: £200k + bonus Summary Join a sophisticated technology team in the London office of a prop trading house that places software development at the centre of business strategy. This team have the responsibility of a trading group and a core infra team. This role is for a senior engineer who is able to take on problems at all levels of the software stack, including low-level code to drive network hardware, super reliable high-performance trading infrastructure and time-saving internal tools. You will be taking ownerships of projects and writing production code from day one. Working collaboratively alongside the traders, this is very much a hands-on role with a real impact on improving people's daily work. The development team enjoys great flexibility when planning roadmaps and deciding which features to implement. Requirements • BS in Computer Science or Computer Engineering (or equivalent experience), • Expert-level experience programming in C / C++11/17/20/23 and Python, • Previous finance experience, or other significant hands-on development, • Linux guru, • Ability to juggle a lot of priorities and continuously deliver Benefits • Vibrant, flexible and inspiring work environment with excellent rewards, • They're willing to be flexible with WFH, • Free food / gym onsite Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful. Contact If this sounds like you or you would like to know more, please get in touch: Andy Stirling-Martin 020 3137 9579 linkedin.com/in/andrew-stirling-martin-7664a946

About Indicium AI Indicium AI was Anthropic’s first European launch partner - and sits among a handful of organisations globally trusted by Anthropic to deploy Claude at enterprise scale. We are also one of the first four OpenAI partners in the UK, and Databricks Ventures has invested in our business and holds a seat on our board. Our engineers have access to the latest AI tools and models, partner technical teams, and early capability previews that the wider market does not. We are deploying production AI systems into the world's most complex organisations across Financial Services, Energy, and Healthcare. We exist to make AI a genuine competitive advantage for our clients, not in a presentation but in production. The Role Software engineering is being fundamentally reshaped by AI. The organisations that move fastest to adopt AI native development practices - Claude Code across their engineering teams, agents embedded in their SDLC, new operating models for how engineers and AI tools work together - will have a decisive advantage. Most enterprises know this. Very few have the leadership to make it happen. This is a senior technical leadership role at the head of our Forward Deployed Software Engineering practice. Reporting to the CTO, you will lead a team of Forward Deployed Software Engineers who embed with client engineering organisations to transform how they build software in the age of AI. You will own the practice end to end - the quality of engagements, the playbooks that let it scale, the team you build, and the relationships you hold with clients and partners. This is a role for a true lifetime software engineer: someone who has built and shaped engineering teams, who has likely held CTO or VP Engineering roles, and who is now deeply passionate about how AI is transforming the discipline they have spent their career mastering. You will work directly with client engineering leaders at the most senior level, with Anthropic partner teams, and with Indicium AI leadership to define the direction of our software engineering transformation practice. What You Will Do • Lead, hire, and develop a high-performing team of Forward Deployed Software Engineers - setting a high bar for engineering excellence, client instincts, and delivery quality, • Define and evolve the Indicium AI approach to AI native engineering transformation - covering Claude Code adoption, agentic SDLC tooling, engineering operating models, team structures, and best practice at scale, • Own the technical and operational bar for software engineering engagements - reviewing SOWs, shaping engagement architecture, and ensuring your team delivers lasting capability change in client organisations, • Manage hands-on technical delivery in enterprise - you are comfortable moving fluidly between boardroom conversations with a CTO about engineering strategy and pairing with your team on a client codebase, • Build the playbooks, reference implementations, and repeatable patterns that turn one-off transformation engagements into a scalable practice, • Develop vertical fluency across the team in Financial Services, Energy, and Healthcare - understanding the specific engineering constraints and compliance requirements of each sector, • Partner with Sales to shape pipeline, scope engagements, and identify expansion opportunities within existing accounts, • Work alongside Anthropic field teams on joint engagements - representing Indicium AI at the highest level, • Provide technical mentorship, conduct regular 1:1s, and invest in the career growth of each team member, • Be the external voice of Indicium AI’s software engineering transformation practice - through client relationships, partner engagement, and thought leadership What We Are Looking For • 10+ years in software engineering with at least 4 years in senior engineering leadership - CTO, VP Engineering, Head of Engineering, or equivalent roles where you built and shaped teams, • A true lifetime software engineer - you have written production code across your career, led architecture decisions on complex systems, and built engineering cultures that ship, • Deep passion for how AI is transforming software engineering - you are already using AI native development tools and have a clear, informed view on where the discipline is heading, • A track record of building engineering teams from early stage - hiring, developing, and retaining exceptional engineers, not just managing an inherited organisation, • Experience driving engineering transformation - whether adopting new practices, retooling an SDLC, or scaling an engineering organisation through a step change in capability, • Enterprise credibility - you have worked with or within large engineering organisations and understand the realities of legacy systems, compliance, procurement, and multi-team coordination, • Executive presence - you can hold your own with a CTO or VP Engineering and translate technical strategy into clear narratives for diverse audiences, • High agency and comfort with ambiguity - you have built something from zero before and know what it takes Nice to Have • Former CTO or VP Engineering at a scaling technology company, • Experience in a client-facing engineering role - forward deployed engineering, technical consulting, or engineering advisory, • Experience with Claude Code enterprise deployment, AI agent integration into development workflows, or MCP server development, • External presence - writing, speaking, or community contribution in the software engineering or engineering leadership space, • Experience working alongside or within partner ecosystems such as Anthropic, Databricks, or AWS at a senior level Why Indicium AI Access to leading AI Labs: Anthropic’s first European launch partner. One of the first four OpenAI UK partners. Databricks Ventures invested and on our board. Our engineers work with capabilities before the wider market does and work jointly with teams from leading AI Labs on customer delivery. We are builders: We embed, we architect, we build - and we stay until it works. Our engineers make real decisions on live systems, for clients in industries where getting it wrong has consequences. There are no layers between you and the work. Problems worth solving: No two engagements are the same. The variety and complexity of enterprise AI problems at Indicium AI is something a product company simply cannot offer. If you want engagements that test every dimension of what you can do, this is where they are. Investment in staying at the frontier: The best engineers we know are relentlessly curious - and we build an environment that supports learning and growth. Every engineer has access to leading AI training and tools, career development pathways, and a flexible L&D budget. We think that’s how it should be.

Senior Backend Engineer The Senior Software Engineer will join a high-performing backend engineering team responsible for building and scaling modern, cloud-native platforms that power customer-centric financial products. You’ll play a key role in designing and delivering resilient, secure, and high-performance systems, working within collaborative squads focused on solving real-world problems at scale. This role sits within an innovative, fast-growing environment that blends the agility of a startup with the backing and stability of a global financial institution. You’ll be instrumental in shaping architecture, influencing engineering standards, and mentoring engineers while delivering impactful solutions. Company Highlights: • Backed by a globally established financial institution with significant investment in digital innovation, • Startup-like environment with a strong engineering-first culture sitting on top of an established user base (circa 70M+ Users), • Customer-centric mission focused on building modern financial products from the ground up, • Highly collaborative structure with cross-functional squads and real ownership, • Strong emphasis on diversity, inclusion, and continuous learning, • Cutting Edge Technology - Java 25 and Kotlin, cloud-native infrastructure as well as unlimited Claude 4.6 usage Role Overview: Opportunity to be a founding engineer as part of a Greenfield build out of a Fintech, backed by a major Investment Bank. You will have autonomy and ownership of the platform with the scope of influencing architectural decisions and seeing it through to production. Key Responsibilities: • Design and build scalable, high-quality backend systems using modern engineering practices, • Apply domain-driven design principles to create robust and adaptable services, • Ensure systems are resilient, fault-tolerant, and free from single points of failure, • Develop secure, production-ready code with a focus on performance and reliability, • Own the full lifecycle: from design and development to deployment and optimisation, • Troubleshoot production issues and implement long-term fixes to prevent recurrence, • Enable seamless, zero-downtime deployments for critical services, • Optimize data access patterns and storage solutions for performance and scalability, • Continuously improve system observability, monitoring, and operational excellence, • Mentor engineers and contribute to a strong engineering culture Tech Stack: • Strong experience with JVM-based languages (Java and/or Kotlin), • Experience building microservices and distributed systems at scale, • Cloud-native development (AWS, GCP, or Azure), • Containerization and orchestration (Docker, Kubernetes), • CI/CD pipelines and modern DevOps practices, • Experience with event-driven architecture and messaging systems (e.g. Kafka), • Strong understanding of APIs, RESTful services, and system design, • Database experience (SQL and/or NoSQL), • Familiarity with observability tools and monitoring frameworks Ideal Candidate Profile: • Strong problem-solving mindset with the ability to take ownership of complex challenges, • Passion for clean code, maintainability, and long-term system design, • Collaborative approach with a focus on knowledge sharing and team success, • Adaptable and comfortable working in fast-paced, evolving environments, • High standards for engineering quality and ethical decision-making, • Commercial awareness and interest in fintech or digital banking

The Company The Outform Group is an award‑winning global innovation agency. We partner with some of the world’s most recognisable brands and retailers to transform customer experience through insight, technology, and creativity. Our ambition is to be revered as the agency shaping the Future of Retail, and in EMEA we continue to grow with pace and purpose. The Opportunity We are seeking a highly organised and proactive Fulfilment & Portal Coordinator to join our team. This role is essential to ensuring the smooth operation of our spare parts fulfilment ecosystem, supporting retail display programmes across EMEA. You will be the guardian of our fulfilment portal, ensuring accuracy, efficiency, and exceptional service for our clients and retail partners. The Role This role is responsible for monitoring, maintaining, and optimising Outform’s spare parts and fulfilment portal. You will manage stock levels, process maintenance tickets, coordinate replacement parts, and ensure timely fulfilment to stores or installation engineers. A detail‑driven coordinator with strong communication skills, you will act as the operational backbone of our after‑sales support function. Job Title: Fulfilment & Portal Coordinator- Beauty Reporting to: Beauty Services PM Location: London or Fleet, UK Hours of Work: 9am – 5.30pm, 37.5 hours per week Key Responsibilities Portal & Stock Management Portal oversight — Monitor and maintain the spare parts fulfilment portal, ensuring all data is accurate, up to date, and aligned with live retail display programmes. Stock level management — Track inventory levels across all spare parts, identifying replenishment needs and coordinating with internal teams to maintain optimal stock. Data accuracy — Ensure product codes, descriptions, imagery, and technical information are correctly maintained within the portal. Reporting — Generate regular reports on stock usage, ticket volumes, fulfilment timelines, and recurring issues. Maintenance Ticket Handling Ticket triage — Receive and assess maintenance tickets submitted by clients or retailers, identifying the issue and determining the appropriate response. Replacement coordination — Arrange dispatch of spare parts either directly to stores or via an installation engineer, depending on the complexity of the issue. Issue resolution — Liaise with internal teams (production, engineering, logistics) to resolve technical or fulfilment‑related queries. Client communication — Provide clear updates to clients and retailers on ticket status, expected delivery times, and next steps. Operational Coordination Process optimisation — Continuously review fulfilment workflows to improve speed, accuracy, and customer experience. Cross‑functional collaboration — Work closely with logistics, warehouse, engineering, and client services teams to ensure seamless fulfilment operations. Quality assurance — Ensure all dispatched parts meet Outform’s quality standards and are packaged appropriately for safe delivery. Engineer scheduling — Coordinate with installation partners when on‑site support is required. Client & Retailer Support Relationship management — Build strong working relationships with clients and retail partners, ensuring a high‑quality after‑sales experience. Guideline adherence — Ensure all fulfilment activity aligns with retailer requirements, store processes, and visual merchandising standards. Service excellence — Act as a trusted point of contact for all spare‑parts‑related queries, ensuring timely and professional communication. Key Skills and Experience Proven experience in retail operations, after‑sales support, logistics coordination, or fulfilment management. Strong understanding of inventory systems, ticketing platforms, or portal‑based workflows. Excellent communication and stakeholder‑management skills. High level of accuracy, organisation, and attention to detail. Ability to multitask and prioritise in a fast‑paced environment. Proficient in Microsoft Office Suite and comfortable learning new digital tools. Analytical mindset with strong problem‑solving abilities. Proactive, self‑motivated, and committed to delivering exceptional service. Package Salary: Competitive, depending on background and experience Benefits: 5% company pension contribution Private healthcare and Medicash plan Death in Service (DIS) insurance 27 days holiday EMEA Bonus

Role: Shift Engineer Location: East London Salary: Competitive Salary + 20% shift allowance The Client: My client is a prominent and forward-thinking energy infrastructure provider in the United Kingdom, specializing in the design, delivery, and long-term operation of large-scale decentralized low-carbon utility networks. The company focuses heavily on urban district heating, cooling, and power solutions, managing critical assets that supply sustainable energy to thousands of residential and commercial properties. Renowned for its engineering excellence and commitment to the green transition, the business integrates cutting-edge technologies like industrial heat pumps and waste-heat recovery systems to drive urban centres toward a zero-carbon future. Employees benefit from working within a safety-first, technologically progressive environment that prioritizes long-term asset reliability, environmental sustainability, and structured career development within the renewable utilities sector. The role: The Shift Engineer is responsible for the safe, efficient, and reliable operation of two energy centres, including a biomass energy facility. Key duties include operating biomass boilers and gas engines, fuel handling via forklift, water hygiene monitoring, and submitting detailed shift logs. The engineer is instrumental in maintaining plant uptime, supporting compliance, and delivering safe energy to site users. Key Responsibilities • Operate and monitor biomass boilers, gas engines, and steam plant across two energy centres., • Respond to plant alarms, diagnose faults, and take corrective actions within operational limits., • Perform routine maintenance checks on engines, boilers, pumps, valves, and control systems., • Carry out plant walkarounds, identify abnormalities, and escalate issues as needed., • Ensure safe and compliant fuel handling operations using a forklift (fuel feeding and unloading)., • Support safe shutdown, isolation, and startup procedures during maintenance or operational events. Energy Centre Management:, • Maintain round-the-clock oversight of two interconnected energy centres, ensuring consistent energy production and delivery., • Coordinate operation and communication between both facilities., • Conduct inspections and maintain performance records for both centres throughout each shift. Water Hygiene & System Monitoring:, • Carry out daily and weekly water hygiene checks (e.g., temperature monitoring, flushing regimes, water sampling)., • Complete water system logbooks and ensure compliance with L8 and site-specific water hygiene procedures., • Support water treatment plant operation where applicable (e.g., softeners, dosing units, conductivity readings). Shift Duties & Reporting: • Work 12-hour shifts (4 on, 4 off, rotating 06:00 18:00 and 18:00–06:00)., • Alternate responsibility for completing and submitting detailed shift reports covering plant status, incidents, readings, and actions., • Ensure a clear and professional shift handover, communicating any unresolved issues or maintenance priorities. Compliance & Safety:, • Adhere strictly to Health & Safety requirements, including use of PPE, RAMS, and Permit to Work systems., • Carry out statutory checks and compliance tasks, including boiler checks, engine oil levels, and emissions monitoring., • Operate plant and forklift in accordance with training and site rules, • Report incidents, near-misses, or unsafe behaviours immediately. Team Contribution & Flexibility: • Work collaboratively with other shift engineers and support staff., • Provide clear communication to site management, supervisors, and contractors., • Support multi-disciplinary tasks and contribute to plant reliability and uptime., • Continuous and efficient plant operation across both energy centres., • Accuracy and timeliness of shift reporting and water hygiene records., • Uptime and availability of boilers, engines, and supporting plant., • Zero tolerance for Health & Safety breaches and adherence to operational procedures. Professional conduct during shift and effectiveness of shift handovers. Skills & Competencies • Proven experience operating industrial biomass boilers, gas engines, and steam systems., • Valid forklift truck licence with safe handling of biomass and general materials., • Competence in plant monitoring systems (e.g., SCADA, HMI) and fault diagnosis. Additional Competencies from Level 3 Electrical Qualification, • Awareness and application of water hygiene and Legionella control best practices (L8 compliant)., • Understanding of combustion principles, fuel systems, engine lubrication, and emissions control., • Ability to follow and complete operational logs, checklists, and compliance documentation., • Proactive attitude toward plant performance, safety, and continuous improvement., • Skilled in switching between remote sites or energy centres and prioritising workload. Knowledge of emergency procedures and shutdown protocols.

About the Role We’re seeking a Principal AI Engineer to lead the design and implementation of advanced AI solutions across our product and business ecosystem. This is a unique opportunity to define and deliver an organisation-wide AI strategy — combining hands-on technical work with cross-functional influence to drive real impact. You’ll work closely with senior technology and business leaders to shape how AI is embedded across products, operations, and internal processes. The role offers autonomy, scope, and visibility — ideal for someone who thrives at the intersection of deep technical expertise and strategic thinking. What You’ll Do • Design, build, and deploy AI-powered systems and features that enhance product functionality and user experience., • Develop and integrate agentic frameworks, RAG pipelines, and vector database architectures to support natural language and intelligent automation use cases., • Fine-tune and customise LLMs (e.g. OpenAI, Anthropic, and other models) for specific business applications., • Collaborate with engineering and data science teams to implement MLOps best practices — from deployment and monitoring to continuous iteration., • Partner with commercial and operational teams to identify and automate processes that can be enhanced through AI tools., • Ensure responsible and secure use of AI through data governance, model guardrails, and compliance measures. About You • Deep expertise in Python, machine learning, and data science., • Experience building, deploying, and scaling AI models in Azure and/or AWS environments., • Skilled in using LangChain, LangGraph, vector databases, and prompt engineering., • Understanding of LLM optimisation, including context extension and RAG-based frameworks., • Proven ability to collaborate cross-functionally and communicate complex AI concepts to non-technical teams., • A proactive, creative mindset — comfortable operating with autonomy to build scalable, production-grade AI systems. Preferred qualifications: • Advanced degree (MSc/PhD) in Computer Science, Data Science, or a related STEM field., • Experience with Azure Foundry, AWS SageMaker, or other model-serving tools., • Prior exposure to SaaS, enterprise, or data-rich product environments. Why This Role • Play a central role in defining and executing an organisation-wide AI roadmap., • Work directly with senior leadership on strategy and implementation., • Shape the next generation of intelligent, data-driven products., • Hybrid working environment with flexibility for deep technical focus and collaboration., • Competitive compensation and the opportunity to build at scale in a high-growth environment. If you’re passionate about building intelligent systems that create measurable impact — this is your opportunity to lead from the front.

You will own manufacturing projects that end up in satellites, nuclear fusion reactors, submarines and robotics. A profitable, bootstrapped London manufacturing partner is hiring a Manufacturing Project Engineer to take ownership of a portfolio of demanding hardware customers. £45,000 to £50,000, four days a week in their studio, with funded factory visits to China. Scope of the Role The Manufacturing Project Engineer owns customer projects from RFQ through to delivered parts. As Manufacturing Project Engineer, you sit between UK and European hardware businesses and a network of UK and Chinese partner factories. • Review CAD models and drawings, spot DFM issues early, and feed back to customers in plain language, • Brief partner factories so they quote and manufacture exactly what the customer expects, • Issue customer quotes, explain trade offs, and follow up without applying pressure, • Track orders through production, manage slippage, and handle quality issues calmly, • Become the first call for a portfolio of repeat customers Key Skills and Experience Required • Proven background as a Manufacturing Engineer, Project Engineer, Design Engineer, or Applications Engineer in a product environment, • Practical DFM knowledge for CNC machined parts, plus working knowledge of finishing (anodising, plating, bead blasting), • Confident reading and interrogating CAD models and 2D drawings, even where you are not the detailed designer, • Demonstrable ability to manage multiple live projects at once without dropping threads, • Calm, clear written and spoken communication, with a track record of delivering inconvenient news without drama Salary and Benefits • £45,000 to £50,000 base depending on experience, • Discretionary bonus moving to a team based revenue scheme once established, • 33 days holiday (25 plus bank holidays plus your birthday), • Full private health including mental health, same day GP and physio, • Employer pension contributions, • Funded travel to partner factories in the UK and China, • MacBook Pro, ultrawide monitor and home office kit, • Discounted manufacturing for personal side projects Our client is a profitable, bootstrapped manufacturing partner founded in 2014, named in the 2024 FT1000 list of Europe's fastest growing companies. The team is small, the work is varied (parts for space, fusion, robotics, submarines), and the founder still runs the model himself. The Manufacturing Project Engineer joins as the fourth person near Lewisham, with genuine ownership of a customer portfolio from day one. How to Apply Want to find out more about this Manufacturing Project Engineer role? Click apply and we will be in touch.

The Role A hands-on C++ Production Support Engineer to support and enhance a legacy Treasury platform (LPS). This role combines short-term technical remediation work on a mature C++ codebase with longer-term production support responsibilities across client’s internal ecosystem (SecDB/Slang). Your responsibilities: C++ Technical Remediation (Initial 3–6 months) • Address technical risk and vulnerability remediation in legacy C++ codebase (e.g., buffer overflow, runtime vulnerabilities), • Perform code-level fixes and enhancements within a mature (~30-year-old) platform, • Collaborate with internal developers to close out outstanding technical debt items Production Support & Platform Integration • Provide production support for LPS platform, including: Executing runbooks (e.g., user onboarding via DB updates) & Monitoring platform health and handling incidents, • Contribute to transitioning LPS support from a siloed model to a more distributed support structure, • Integrate LPS workflows into broader clients tooling (e.g., scheduling, monitoring systems), • Cross-train on client's internal platforms (SecDB, Slang) and support broader production needs Your Profile • Strong hands-on experience in C++ (debugging, code reading, and fixes), • Experience in production support environments (incident handling, runbooks, operational support), • Solid understanding of Unix/Linux environments (preferably Solaris exposure), • Ability to work independently in a high-ownership, low-supervision environment Desirable skills/knowledge/experience: • Exposure to financial systems / trading / treasury platforms, • Experience working with legacy systems modernization or technical remediation, • Familiarity with scripting or query-based systems (ability to learn client's internal tools like SecDB/Slang)

Role – Senior RF Engineer Location - London, UK My client is seeking a Senior RF Engineer who will be responsible for significant work packages of RF/Microwave module development, test, and support as well as antenna design, modelling, and requirements. They support other areas of the business with RF/antenna design expertise. Key Responsibilities • Proactively lead antenna and RF equipment development, via internal or sub-contracted work packages., • Maintain antenna and RF designs – e.g., for product Improvements and obsolescence. Management, • Oversee derivation of requirements and specifications and their verification & validation, • Provide technical support to Supply Chain, Quality, Suppliers and Customers., • Support external antenna and RF designs and maintain antenna/RF Production Tests., • Support RF module manufacture – responding to technical issues, undertaking trend analysis and root cause analysis., • Ensure that Engineering Procedures are correctly followed, and the quality is maintained through design and manufacture., • Generate estimates, plan and generally manage small work packages., • Ensure adequate documentation is maintained. Requirements • PCB Design at microwave frequencies - comfortable with manipulating schematics and defining/reviewing required layout., • RF Component selection; knowledge of High Power RF amplifier, Low Noise Amplifiers, Limiters, Circulators, Filters, Mixers and Phase Locked Loop usage., • RF System Design (e.g. Cascade Analysis)., • Familiarity with RF test equipment (e.g. Spectrum Analysers, Vector Network Analysers)., • Antenna theory and design and test including array antennas, including slotted array and printed antennas, • Design for test and design for manufacture., • Experience of a Production Environment (e.g. good understanding of processes such as SMT)., • Self-motivated and enjoys working within a team., • Good command of written and verbal English. Looking forward to hearing back from you!

AI Forward Deployed Engineer Leading Buy Side Client | London | Hybrid | Competitive Daily Rate The Opportunity Join a leading Buy Side Client building production AI systems that transform how investment professionals work. This isn't an R&D role—you'll ship LLM-powered applications that investment and finance teams depend on daily, while simultaneously building the governed AI platform that underpins the entire organisation. 50% embedding with business teams | 50% platform engineering What You'll Build Embedded AI Applications: • Ship high-value LLM applications directly with Investment and Finance teams, • Turn ambiguous business problems into production-grade AI solutions, • Deploy agentic workflows using Claude and ChatGPT APIs, • Build and extend governed AI platform: LLM gateway, model control layer, privacy proxy, • Develop MCP connectors for Salesforce, M365, deal flow systems, analytics platforms, and third-party data providers, • Implement logging, audit trails, observability, and evals tooling, • Design agentic workflows spanning multiple systems with proper tracing, scoring, and regression checks, • Ensure compliance with regulatory requirements (FCA, DORA) Essential Skills: Production AI Engineering: • Deep practical fluency with Claude and ChatGPT APIs, tool use, structured outputs, and prompting techniques, • Track record shipping LLM-powered applications that users depend on, • Experience with LLM gateways, privacy proxies, agent observability, or evals frameworks (even at hobby/prototype level) Software Engineering: • Strong Python and TypeScript for production systems, • Modern Azure infrastructure and services, • Integration patterns: REST APIs, MCP, webhooks, SSO/Entra ID, • Production code experience in regulated or enterprise environments Business & Communication: • Excellent communicator who can sit with investment professionals and turn conversations into code, • Ability to work with ambiguous business problems and ship concrete solutions, • Experience pairing with non-technical stakeholders

Python AI Engineer with Databricks exposure Overview We are looking for a Python AI Engineer (with Databricks exposure) with hands-on experience in Generative AI, backend development, and database-driven applications. The role involves designing and building AI-enabled applications, developing APIs and services to deploy AI models, and integrating them with enterprise databases and cloud platforms. The candidate should be comfortable working across AI solution design, backend development, and data engineering. Key Responsibilities • Design and develop AI and Generative AI applications using Python., • Build backend services and APIs using Flask or Django for AI-powered systems., • Work with enterprise databases (SQL-based systems) to ingest, transform, and manage large datasets., • Develop and integrate GenAI capabilities such as LLM-powered workflows, AI assistants, or automation tools., • Design scalable architectures for AI solutions including model deployment and data pipelines., • Build REST APIs and microservices to integrate AI models with enterprise applications., • Work with cloud platforms (Azure preferred) to deploy and scale AI applications., • Collaborate with data engineers, product teams, and domain experts to build production-grade AI solutions. Required Technical Skills • 7+ years of experience as a Python developer which atleast the last 3+ years have been on AI / GenAI solutions, • GenAI / AI development experience: LLM applications, AI workflows, or AI-enabled automation, • Python development: Strong coding and data processing experience, • SQL and database experience: Querying, data modeling, and data integration, • Backend frameworks: Django or Flask, • API development: RESTful services and microservice architecture, • AI system architecture / solution design: Designing scalable AI applications, • Cloud platforms: Azure AI services preferred, • Data platforms: Experience with Databricks or similar ML platforms is a plus Soft Skills • Strong problem solving and analytical thinking, • Ability to work in cross-functional teams, • Good communication and collaboration skills

🚨Founding Engineer 🚨 🧑 💻Fullstack Engineer - Javscript/Node.js 🧑 💻 📍London 📍 💷 up to £150k base salary + Equity 💷 Hugely Successful Engineering AI Native Platform based in London who are undergoing an exciting period of growth, are looking for a Founding Engineer (Javascript/Node.js) If you thrive on autonomy, love building 0→1, and want your work to directly impact their trajectory, let's talk. What you'll do: • Design and build scalable backend systems, APIs, and infrastructure from the ground up, • Ship full-stack features directly to customers, • Define architecture and engineering standards as we scale, • Partner with our CTO and CEO on product and technical strategy, • Own infrastructure health and reliability, • Evaluate and integrate emerging technologies What we're looking for: • 3+ years building production systems from a startup, • Proficiency in modern Fullstack tech (Javascript, Next.js Node.js, etc.) and comfort using AI tooling, • Track record of shipping products end-to-end, • Thrives in fast-paced, ambiguous environments with high ownership, • Collaborative team player who drives initiatives forward independently Perks: Paying up to £150,000 plus Equity Hybrid plus much more... Please only apply if you have full working Rights as there is no sponsorship on offer. Please feel free to apply or email to learn more.

Full Stack Software Engineer (Platform & Cloud) Location: London (Hybrid - 2 days onsite) Salary: £70,000 – £100,000k (DOE) Contact: Adam Mayne – | 01234 823373 An exciting opportunity for a Full Stack Software Engineer to join a fast‑growing London technology design consultancy building next‑generation cloud and platform solutions for an array of different clients in industries, such as FinTech, HealthTech, GovTech and MedTech. The company develops next generation cloud‑native, highly scalable platforms, combining modern web technologies with cutting‑edge backend and infrastructure engineering. As a Full Stack Software Engineer, you’ll be involved not only in feature development but also in the evolution of the underlying platform and cloud architecture. This is a hands‑on role offering real ownership, technical influence, and the chance to work across product, platform, and cloud concerns in a high‑growth startup environment. What you’ll be doing as Full Stack Software Engineer • Designing, building, and maintaining front‑end user interfaces using Angular and modern web technologies, • Developing and integrating API‑driven backend services and microservices with Go, and scalable frameworks as Kubernetes., • Contributing to the design and evolution of scalable, distributed systems running in the cloud, • Working alongside platform and infrastructure engineers on containerised workloads, deployments, and system reliability, • Debugging and resolving issues across the full stack, from UI through to backend and cloud services, • Participating in code reviews, CI/CD pipelines, and continuous improvement of engineering standards, • Collaborating closely with product, UX, and engineering teams to deliver robust, production‑ready solutions What we’re looking for in a Full Stack Software Engineer • At least 4 years+ experience as a Full Stack or Software Engineer, • Strong experience with Angular or similar modern front‑end frameworks, • Solid understanding of backend development, APIs, and system integration, • Experience working with cloud platforms such as AWS or Azure, • Skilled in Go Language., • Knowledge of Kubernetes and Docker, • Experience with SQL or NoSQL databases (e.g. MS SQL, MySQL, Redis), • Familiarity with CI/CD pipelines, version control, and modern software delivery practices, • Comfortable working in a fast‑paced startup environment, contributing across both product and platform concerns, • A collaborative mindset with a willingness to learn and adapt

Are you an experienced Electrical Engineer looking to take the next step in your career? Would you like to get involved with delivering some of the world’s most exciting projects and join a dynamic, growing team who are at the forefront of sustainable design? If so, we want you to join our Building Services team in London! Based in our office a stone’s throw from Borough Market in the heart of Southwark’s thriving Bankside, our welcoming and diverse team are working on some of the most prestigious and innovative projects in the UK and across the world. From sustainability-focused offices and commercial premises to cutting-edge healthcare facilities and from award-winning retail developments to major new residential communities, you’ll have the opportunity to play a major role in delivering schemes across a huge range of sectors. Working as a key member of the team, you will be provided with the autonomy to design Electrical services in many sectors of the industry and be client facing, representing the company. To fulfil this role, you will need to be degree qualified, or in the process of obtaining your degree (or equivalent), demonstrate suitable design experience in the building services sector (preferably across a variety of sectors) and be an effective communicator, both verbally and in the production of reports and specifications. Key requirements • You will have experience in using recognised design software tools such as REVITT, • Have great communication skills that can adapt both to external parties and clients but also within the team, • Understand project needs and be able to manage the full delivery, • You will have recognised qualifications in Electrical services design and either be working towards Chartered Status, or have an interest in doing so, • Be able to work both autonomously and as part of a team in support to deliver projects, • Experience of people management is desirable, • Future flexibility will be needed for regular co-operation, travel and inter-office working, • In house expertise for Electrical enquiries Within Waterman we now carry out our projects in the 3D environment and are rolling out StabiCAD design tool across all offices. While a detailed knowledge of this software is not a essential (training will be provided) an awareness of working in a 3D environment is, as is a knowledge of cable sizing and lighting design software. As well as a competitive salary, Waterman has a friendly and professional working environment with a strong team spirit, offering opportunities to work on a variety of projects with many blue-chip clients. Waterman promotes the development of individuals skills and offer career progression opportunities. What’s on offer for you as Senior Electrical Engineer: • An opportunity to join a multi-disciplinary team in a leading consultancy, • Competitive salary and benefits package, • Excellent future career opportunities, • 26 days holiday per year, rising to 31 days with loyalty days, plus bank holidays, • Hybrid working arrangements, • Fantastic training and development culture, • Access to mentoring support from industry experts, • Opportunity to play a key role in exciting and varied projects, • Opportunity to be client facing and the chance to get involved with business development and marketing activities, • Fast-tracked career progression for the right candidates About Waterman Group: Waterman Group is a multidisciplinary consultancy providing private and public sector clients with sustainable solutions to meet the planning, engineering design and project delivery needs of the property, infrastructure, environment, and energy markets.

Lead Data Engineer (Contract) Location: London (2 days onsite per week) Day Rate: £550 Per day (Outside IR35) Duration: min. 6-month contract Start: ASAP Contact: Overview We are looking for a Lead Data Engineer to join a high-performing team delivering advanced data platforms that support financial institutions in tackling fraud and financial crime. In this role, you will help design and evolve a modern Databricks + lakehouse architecture, enabling analytics, machine learning, and investigative teams to generate actionable insights from large-scale datasets. This is a hands-on leadership position focused on building robust, scalable, and governed data solutions using modern cloud technologies. The Role • Own the end-to-end design, build, optimisation, and support of scalable Spark / PySpark data pipelines (batch and streaming), • Define and implement lakehouse architecture standards (medallion model: bronze, silver, gold), including governance, lineage, and data quality controls, • Design and manage secure data ingestion frameworks (e.g. Apache NiFi, APIs, SFTP/FTPS) for internal and external data sources, • Architect and maintain secure AWS-based data infrastructure (S3, IAM, KMS, Glue, Lake Formation, Lambda, Step Functions, CloudWatch, etc.), • Implement orchestration using tools such as Airflow, Databricks Workflows, and Step Functions, • Champion data quality, observability, and reliability (SLAs, monitoring, alerting, reconciliation), • Drive CI/CD best practices for data platforms (infrastructure as code, automated testing, versioning, environment promotion), • Mentor engineers on distributed data processing, performance optimisation, and cost efficiency, • Collaborate with data science, product, and compliance teams to translate requirements into scalable data solutions Required Skills & Experience • Strong experience as a Senior or Lead Data Engineer with ownership of end-to-end data solutions, • Expertise in Databricks, PySpark / Spark, SQL, and Python, • Proven experience building and optimising large-scale data pipelines in production environments, • Strong knowledge of cloud data architectures, particularly within AWS, • Experience designing scalable data models and reusable frameworks, • Hands-on experience with orchestration tools such as Airflow or similar, • Solid understanding of data governance, lineage, and compliance requirements, • Experience with CI/CD pipelines and infrastructure as code (e.g. Terraform, CloudFormation), • Strong communication skills with the ability to collaborate across technical and non-technical teams What We’re Looking For • A hands-on technical leader who can design, build, and deliver solutions independently, • Someone comfortable working with high-volume, high-throughput data systems, • Strong problem-solving skills and a pragmatic, delivery-focused mindset, • Experience mentoring engineers and setting engineering standards and best practices, • Ability to balance technical excellence with delivery timelines

Graph Data Engineer (Neo4j/Python/Graph Algorithms) – Hybrid (London – 2/3 days onsite per week) – (£500-600/DAY OUTSIDE IR35) We are currently supporting a cutting-edge AI software company building advanced graph-based reasoning infrastructure for enterprise environments across highly regulated sectors. They’re looking for a Graph Data Engineer to join on a subcontractor basis, helping design and scale complex knowledge graph systems powering next-generation AI/LLM workflows. Tech Stack: • Neo4j, • Python/FastAPI, • Graph Algorithms, • GraphRAG, • RDF/SPARQL, • NetworkX/GraphBLAS, • GCP/AWS, • DuckDB/FalkorDB Key Experience: • Large-scale graph construction & ingestion, • Graph traversal & query optimisation, • Knowledge graph architecture, • Graph algorithms (PageRank, Louvain, Centrality etc.), • Auditability & reasoning traceability, • Production-grade Python engineering, • Complex enterprise data environments Bonus Experience: • KG embeddings / PyKEEN, • NER & relation extraction, • Datalog / recursive query semantics, • Regulated industries (Finance, Pharma, Defence) Hybrid/Remote – preference for London-based engineers 6-month initial contract with high likelihood of extension £500–650/day Outside IR35 Great opportunity for an experienced Graph Engineer who enjoys solving complex data, performance, and reasoning challenges within cutting-edge AI environments.

Python Engineer – Financial Services (Contract, Remote) A financial markets firm are looking for experienced Python developers to help contribute to foundational data and systems work as part of their future deployment of AI models within the firm. You will work across a portfolio of middle and back-office systems projects, building enterprise-grade production systems and data pipelines, principally in Python. • 5+ years of experience in commercial software engineering, • 3+ years in Python developing enterprise production-grade applications/systems, • Strong understanding of data structures and modern data architecture, • Basic understanding of financial products and trade flows in a markets context (preferred), • Some experience with UI development is beneficial (not required), • Computer science degree or similar This is a £420-460/day PAYE role (cf. £550 umbrella or £95,000 - £100,000 equivalent annual earnings), based London initial for six months. Remote.

Forward Deployed Engineer - Agentic AI - Contract - Hybrid - London - via Umbrella 2-3 days per week on site in central London Market rate via umbrella About you • You're a hands-on engineer who enjoys working close to the business and solving real operational problems, • You're comfortable working with ambiguity and don't need everything perfectly defined before you start, • You enjoy building agentic AI and automation solutions, but you're also happy upskilling others to build their own, • You're motivated by outcomes and adoption rather than demos or proofs of concept, • You're comfortable working side-by-side with non-technical but highly process-knowledgeable teams What you'll be doing • Working alongside business teams to understand their processes, pain points, and constraints, • Designing and building agentic AI solutions using Copilot Studio, AI Foundry, Power Automate, and Power Apps, • Building end-to-end solutions directly for departments or cross-functional, enterprise-wide use cases, • Supporting business department champions who are self-building their own agents, apps, and automation flows, • Identifying, designing, and implementing integrations and connectors to internal systems and external services, • Selecting appropriate integration approaches, including out-of-the-box connectors, custom connectors, or APIs, • Combining agents, automation, and apps into reliable, production-ready workflows, • Deploying and supporting solutions in production Power Platform environments, • Providing guidance, reviews, and practical support to non-technical business champions, • Staying accountable for adoption, performance, and real-world impact What you'll bring • Hands-on experience building agentic AI solutions using Copilot Studio and AI Foundry, • Strong experience with Power Automate, including event-driven and long-running workflows, • Experience building Power Apps to support operational processes, • Proven ability to design and build integrations and custom connectors using APIs, authentication, and data mapping, • Experience working directly with business stakeholders, including non-technical users, • A practical, delivery-focused mindset and comfort working with ambiguity, • The ability to balance hands-on delivery with supporting and enabling others to build safely, • Experience with AI governance, safety, or evaluation in enterprise environments is a bonus, • Familiarity with RAG, semantic search, or LLM-enabled workflows is a bonus

Job Title: AI Engineer Location: Remote / Onsite / Hybrid Job Type: Full-time / Contract About the Role We are seeking an experienced and forward-thinking AI Lead Engineer to join our AI Ops delivery team. In this role, you will lead the design, development, and delivery of GenAI-powered agentic systems that automate complex business processes across domains such as HR, Payroll, SAP, and Client Delivery. You’ll serve as the technical lead within a Business/Core Pod, responsible for mentoring engineers, shaping solution architectures, and ensuring delivery excellence. This role combines deep hands-on engineering with architectural ownership and close collaboration with product managers and domain experts. Key Responsibilities • Own the technical design and architecture of GenAI agent workflows within the Business Pod, • Serve as a hands-on developer, actively contributing to the design, coding, and delivery of production-grade agents and tools, • Lead code and design reviews, ensuring alignment with architectural standards and platform best practices, • Collaborate with the AI Ops Core Pod to adopt and influence reusable assets, frameworks, and integration patterns, • Design and implement LLM-powered agent workflows using frameworks such as LangChain, LangGraph, or CrewAI, • Develop prompt chains, agent tools, and custom modules that support reasoning, summarization, and multi-step task execution, • Integrate agents with enterprise systems (e.g., Workday, SAP, Salesforce) via REST APIs, SDKs, or message queues, • Build and manage agent lifecycle components, including initialization, memory/state handling, and fallback logic, • Implement and consume vector store integrations, prompt templates, and retrieval-augmented generation (RAG) techniques, • Ensure workflows are robust, secure, and observable, with proper logging, monitoring, and exception handling, • Partner with Product Managers, SMEs, and QA to translate business processes into agentic workflows and iterate based on feedback, • Contribute to the automation of testing, deployment, and validation pipelines for AI agents, • Maintain thorough documentation of agent behavior, design decisions, and integration logic for operational readiness and knowledge transfer Preferred Qualifications • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field, • 4+ years of experience in developing and deploying production-grade AI/ML or automation solutions, • Strong proficiency in Python, with hands-on experience using FastAPI, REST APIs, and background task orchestration, • Deep familiarity with agentic frameworks such as LangChain, LangGraph, CrewAI, ReAct, or similar, • Understanding of LLM orchestration, including prompt design, tool usage, context management, and agent memory, • Experience integrating with enterprise systems via APIs, event/message queues (e.g., Kafka, Service Bus), and webhooks, • Solid foundation in distributed system design, including state management, retries, error handling, and resilience, • Experience with business process automation or workflow automation in real-world environments, • Comfortable working with SQL/NoSQL databases, including data modeling and validation, • Knowledge of containerization (Docker), orchestration platforms (Kubernetes), and deployment to cloud platforms (Azure, AWS, or GCP), • Understanding of security concepts including authentication (OAuth2), authorization, and secure API integration, • Contributions to open-source agent frameworks or AI tooling., • Experience working with observability and monitoring tools to track agent performance., • Exposure to knowledge graphs, memory management systems, or retrieval-augmented generation (RAG) pipelines.

Comp: £100-200k This is a fantastic opportunity to work at a tech-focused market maker with groundbreaking success in the high frequency trading space. They're now seeking a motivated data reliability engineer with strong Python skills. You'll join Global Data Engineering in London; a highly talented team with a dedicated focus on supporting the Trading teams. This role offers the opportunity to combine hands-on engineering with high-impact operations. As first-line support for the trading environment, you will be the point of contact for traders, researchers, and other internal users. You can expect a varied workload, including investigating and resolving user issues, addressing data quality concerns, working with vendors and managing alerts. You will also cover integrating new datasets, configuring quality controls, and ensuring pipelines and APIs are robust, scalable, and production-ready. The successful Data Operations Engineer will have outstanding collaboration skills, with strong operational instincts: taking ownership of issues, communicating clearly under pressure and caring deeply about system reliability. Requirements • 3+ years' experience in a similar role in a high-performance/time-sensitive environment (e.g. Data Engineer, SRE, Software Engineer, Data Operations), • Strong proficiency in Python, including libraries such as Pandas, Arrow & Spark, • Experience with Lakehouse architectures (e.g. Delta Lake, Databricks, AWS), • Great base salaries and industry-leading bonuses, • Truly flat structure and highly collaborative culture, within a fun, stimulating office environment, • Generous benefits package, including commuting expenses, breakfast and lunch facilities, regular social activities and more, • Direct business impact with short feedback loop Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful. Contact If you feel you are a strong match for this role, please do not hesitate to get in touch: Dominic Copsey +44 (0) 203 475 7193 linkedin.com/in/dom-copsey-586478143/

Platform Engineer | Trading Firm Central London | 3 days on site Outside IR35 | Up to £650 per day A trading firm in central London has rolled out a business wide data platform and now needs a senior Platform Engineer to take full control of the platform layer. Kubernetes is the heart of this environment and they need someone who can run it with confidence, precision and zero drama. What they need you to bring • Serious Kubernetes depth covering cluster design, workload orchestration, autoscaling strategies, multi cluster operations, network policy, resource tuning and deep debugging across pods, nodes and the control plane, • Deep Linux fluency with the ability to harden, tune and own production environments from top to bottom, • Strong SQL engineering skills covering schema design, performance tuning and high throughput optimisation, • Solid C# background with clean, maintainable service patterns, • Ability to design, build and refine CI/CD pipelines that support rapid and safe releases, • Reliability thinking baked in: monitoring, alerting, SLOs, incident handling and failure mode analysis, • Confident across cloud infrastructure with the ability to stitch services together with minimal overhead

Do you want to help build the next generation of AI-native content and audio experiences? Have you built LLM systems where output quality, tone, and trust genuinely mattered? Are you ready to work on multimodal AI products spanning text, voice, and conversational interfaces? A globally recognised media and information business is building a brand-new internal AI Lab focused on next-generation AI-powered consumer experiences. This is a small, high-autonomy innovation team operating like a start-up inside an established international organisation. The team is exploring how conversational AI, retrieval systems, audio experiences, and multimodal generation can reshape how users interact with content and information products. You’ll work closely with engineering, product, and design stakeholders on genuinely greenfield AI systems. This Senior AI Engineer role is focused on building production-grade LLM systems across fine-tuning, retrieval, summarisation, evaluation, and audio-first AI experiences. It’s a hands-on role with strong ownership and the opportunity to influence the technical direction of a newly formed AI Lab. Key Responsibilities • Build and deploy production-grade LLM systems, • Design and optimise RAG and retrieval workflows, • Fine-tune models for tone, style, and output quality, • Develop audio-first AI products using TTS/STT workflows, • Build multimodal AI experiences across text, voice, and search, • Create evaluation frameworks for hallucination and response quality, • Prototype and iterate rapidly in a greenfield environment Key Details • Salary: Up to ~£120k base, • Working model: Hybrid (3+ days/week in London), • Stack: Python, HuggingFace, LangChain, RAG, multimodal AI, TTS/STT, evaluation frameworks, • Sponsorship: To be confirmed Interested? Please apply below.

Want to join one of the most consistently high-performing Equity funds? The environment is lean, tech-driven and built around systematic trading. You’ll sit at the centre of this, building and scaling alpha algorithms, refining portfolio construction and optimisation frameworks, implementing research into production, and improving how signals flow through risk, sizing and execution across global equity books. Current projects include enhancing the portfolio construction stack, strengthening backtesting and simulation architecture, and improving the robustness of live trading systems handling equity datasets. Background wise, things are open. You might be a quant developer or an engineer working in the front office - but you’ll need strong programming capability paired with solid mathematical methods and the ability to work in a live trading environment. If you want to operate closer to the core of a high-performing systematic team, this is that move. Apply or reach out directly to No up-to-date CV required.

AI Engineer (Backend Focused) – Clinical AI Platform London, United Kingdom (Hybrid) Eblex Group is supporting a fast-growing European clinical AI company that has recently expanded into the UK with the opening of its new London office. The company is building AI-driven software designed to improve how clinical development teams manage, interpret, and operationalise clinical data across the drug development lifecycle. As part of their continued growth, they are looking for an AI Engineer with a strong backend software engineering focus to help scale the platform infrastructure and AI capabilities. This is an opportunity to join a business at the intersection of AI, software engineering, and clinical development, working on products that support biotech and pharmaceutical organisations globally. The Role of AI Engineer You will work closely with AI, product, and engineering teams to develop and scale backend systems that power intelligent clinical applications. The position is heavily backend-focused, with responsibility for building scalable services, integrating AI models into production environments, and supporting large-scale clinical data workflows. Key Responsibilities of AI Engineer • Design and develop scalable backend systems and APIs supporting AI-driven clinical applications, • Build infrastructure to support machine learning model deployment and orchestration, • Develop and optimise pipelines for clinical and operational data processing, • Collaborate with AI/ML engineers to productionise machine learning models, • Improve platform performance, reliability, and scalability across cloud environments, • Work closely with product and clinical teams to translate operational challenges into technical solutions, • Support secure handling of regulated clinical and healthcare data Technical Requirements of the AI Engineer • Strong backend engineering experience using Python, Node.js, Java, or similar technologies, • Experience building scalable APIs and distributed systems, • Familiarity with AWS, GCP, or Azure cloud infrastructure, • Experience supporting AI/ML workflows in production environments, • Understanding of databases, data engineering, and ETL pipelines, • Experience with containerisation and orchestration technologies (Docker, Kubernetes) Preferred Experience • Exposure to AI/ML platforms or data-intensive applications, • Experience within healthcare, biotech, clinical research, or regulated environments, • Familiarity with clinical data standards such as FHIR, HL7, or CDISC, • Experience working in scaling technology businesses or start-up environments This search is being conducted exclusively by Eblex Group. For confidential consideration, please apply directly or contact Eblex Group for more information.