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White Collar Factory (95009), United Kingdom, London, London Senior Software Development Engineer - Velocity Black UK Velocity Black by Capital One harnesses the power of artificial intelligence, the warmth of human experts and the convenience of the latest interfaces to help high-performance people actualize the full potential of their lives. It's concierge, reimagined for the digital age. By harnessing 24/7 chat, AI, and mobile payments, we help our customers do more and be more in the digital age. From access to the hottest restaurants to guaranteed upgrades at the world’s finest resorts. Make a custom request through the app and you will be chatting to our team within 1 minute, 24/7/365. What unites us are the values we share: the relentless pursuit and celebration of excellence, actualising the full potential of our lives, and impacting the world in a positive way. We are looking for talented software engineers to join our global Velocity Black by Capital One engineering team, with the opportunity to specialise in frontend, backend or work in a full stack capacity. As a Senior Software Development Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation with the marrying of these two innovative companies. Joining a startup deeply invested in technology with Capital One’s entrepreneurial spirit and customer-first, tech-led culture, creates an environment where engineers can continue to disrupt the status quo to develop best-in-class customer experiences for the digital age. You will work in a small but passionate team, and have a great deal of autonomy. You should be self-driven, willing to take ownership, ask the right questions and seek knowledge when necessary. If you think innovatively, and like to embrace bleeding edge technology, with a pragmatic approach, you will enjoy working here. The service we offer and build upon is unlike anything ever built before, and our product is rapidly evolving. Velocity Black is our core product, built in React Native and offering exclusive access and unbeatable word-wide service across Travel, Experiences, Luxury Goods and Dining. Our internal and bespoke request management platform, Gravity, is built with React and Node.js micro services, virtually augmenting our expert customer service agents with AI, delivering the unrivalled personal service our members expect and love. Explore our tech stack:___ What you’ll do * Deliver end to end functionality from ideation to delivery focused on the functionality surrounding the ability to make a request and message back and forth while helping to define and adopt best practices * Work in a fast-paced, collaborative technical environment * Utilise programming languages and tools like React Native, React, Node.js, JavaScript, TypeScript, micro services, AI, ML, open source frameworks, DevOps, large data sets, and more * Perform software development leveraging a test-driven development pattern * Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help high-performance people actualize the full potential of their lives * Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies * Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community What we’re looking for * Experience with influencing technical decisions with a tech team in an agile environment * Proven experience in software development using JavaScript or TypeScript * Experience with testing software (automated tests or Test Driven Development) * Previous experience working with AWS, GCP, Microsoft Azure or another cloud service * Have a passion for continued learning of the latest JavaScript and ES versions and trends What you’ll get to learn (any previous experience would be advantageous) * An in-depth understanding and experience working with the cloud/AWS and the opportunities that it brings * Solving real world problems and being comfortable working in a complex regulated environment Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model, so you’ll be based in our offices 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What’s in it for you * Bring us all this - and you’ll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation * We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) * Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: * REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies * OutFront – to provide LGBTQ+ support for all associates * Mind Your Mind – signposting support and promoting positive mental wellbeing for all * Women in Tech – promoting an inclusive environment in tech * EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact ___ All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

White Collar Factory (95009), United Kingdom, London, London Senior Software Development Engineer - Services About this role We are seeking a Senior Software Engineer who can walk in the shoes of our users, communicate & collaborate with teams in Business, Technology and Operations, bringing a passion for using software and technology to create impactful solutions. To be successful in this role, you will have an understanding of the benefits of business processes automation to enable user efficiency, the importance of well-governed solution development, and how to balance these needs to produce easy-to-use software. You are able to seamlessly switch from deep diving users' needs and technical challenges, to discussing solutions and prioritisation. You're not afraid to question stakeholder expectations, using your fantastic influencing skills to drive consensus on requirements, bringing it all together into an achievable, impactful solution that creates business value. What you’ll do * Design, develop, test and maintain a range of internal facing software products and solutions that automate Business processes * Work to achieve the goals and vision shared by Product Management and your team Leadership * Be an advocate for governance, documentation and process, ensuring that everything we build meets our high standards whilst providing a frictionless user experience * Make recommendations to stakeholders and drive a consensus of agreement for your solutions. You'll also be great at keeping them in the loop * Provide technical leadership and innovate within your team. What we’re looking for * A passion for software engineering and a track record of delivering solutions in an efficient and maintainable manner * Exceptional programming skills and knowledge of building APIs using modern OO languages preferably Java, SOLID principles, SOA, HTTP and REST * Demonstrable knowledge of creating architectural designs that meet the business need * Proven experience in technical leadership, with a passion for mentoring and nurturing engineers * You bring a user focussed mindset. An ability to capture process requirements in order to rapidly refine a solution * You’re able to effectively communicate and work together across engineering to maximise inner-sourcing opportunities and reduce waste * Experience and knowledge in Cloud/AWS technologies. What you’ll get to learn (any previous experience would be advantageous) * Solving real world problems and being comfortable working in a complex regulated environment * Gain the opportunity to become an expert in writing and optimising code with the power of AI code assistants (GitHub Copilot). Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our offices and from home. We’re big on collaboration and connection, so you’ll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What’s in it for you * Bring us all this and you’ll be rewarded with a role contributing to the product roadmap for an organisation committed to transformation * We’re continuing our journey into the public cloud and have problems of scale, security, availability and performance for you to help solve * We love continuous learning and that’s why we give you 10% of your time to work on cutting edge innovative projects that shape the way we will work in the future * We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) * Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave * Open-plan workspaces and facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact ___ All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

As an AI Engineer and Senior AI Engineer you’ll be part of our rapidly growing engineering team and help to build the next generation of AI solutions.

AI Platform Engineer | London | Excellent Salary +Benefits Join an award-winning, internationally recognised B2B consultancy as an AI Platform Engineer, owning the cloud-native platform that underpins conversational AI and generative AI products at scale. Sitting at the core of AI delivery, you will design, build, and operate the runtime, infrastructure, and operational layers supporting RAG pipelines, LLM orchestration, vector search, and evaluation workflows across AWS and Databricks. Working closely with senior AI engineers and product teams, you'll ensure AI systems are scalable, observable, secure, and cost-efficient, turning experimental AI into reliable, production-grade capabilities. With further scope of responsibilities detailed below: • Own and evolve the AI platform powering conversational assistants and generative AI products., • Build, operate, and optimise RAG and LLM-backed services, improving latency, reliability, and cost., • Design and run cloud-native AI services across AWS and Databricks, including ingestion and embedding pipelines., • Scale and operate vector search infrastructure (Weaviate, OpenSearch, Algolia, AWS Bedrock Knowledge Bases)., • Implement strong observability, CI/CD, security, and governance across AI workloads., • Strong experience designing and operating cloud-native platforms on AWS (Lambda, API Gateway, DynamoDB, S3, CloudWatch)., • Hands-on experience with Databricks and large-scale data or embedding pipelines., • Proven experience building and operating production AI systems, including RAG pipelines, LLM-backed services, and vector search (Weaviate, OpenSearch, Algolia)., • Proficiency in Python, with experience deploying containerised services on Kubernetes using Terraform., • Solid understanding of distributed systems, cloud architecture, and API design, with a focus on scalability and reliability. You'll own the foundational AI platform behind a growing suite of generative AI products, working with senior AI leaders on systems used by real customers at scale. This role offers deep technical ownership, long-term impact, and an excellent compensation package within a market-leading organisation. INDAMS Portfolio Payroll Ltd is acting as an Employment Agency in relation to this vacancy.

x3 Founding FS Engineer (Python, NextJS, TypeScript) 👨🏽‍💻 (AI/LLMs) Salary up to £120k + Equity London - 2/3 days a week Can sponsor candidates already in the UK ✅ Opportunity to join a VC backed startup, building the future of LegalTech. 🧑🏻‍⚖️ With operations based in both the UK&US and partnerships with the biggest Law firms. Working with LLMs to automate workflows and creating agents to handle c... ZIPC1_UKTJ

Data Engineer Farringdon, London (3 days onsite, 2 days work from home) £55,000–£65,000 Permanent, Full-Time We’re looking for a Data Engineer to join a small, high-impact not-for-profit organisation within the Private Healthcare sector, where data sits at the core of everything they do. This is a hands-on role focused on building and maintaining a modern Azure-based data platform, supporting the storage, transformation and reporting of critical data. You’ll work closely with senior technical stakeholders and play an active role in shaping how data is structured, processed and surfaced across the organisation. The Role This is a practical, delivery-focused position with a strong emphasis on SQL and Azure data engineering. Core focus areas: • ~70% SQL development and data engineering, • ~20–30% Power BI / Tabular modelling You’ll be responsible for: • Designing and maintaining SQL Server databases (tables, views, stored procedures, T-SQL), • Building and optimising ELT/ETL pipelines in Azure Data Factory, • Designing data models and ensuring high data quality and integrity, • Supporting and developing Power BI Premium / Tabular models (DAX, semantic modelling), • Contributing to data platform improvements within an Azure-focused environment What We’re Looking For: • Minimum 2–3 years’ experience in a Data Engineer or similar data-focused role, • Strong SQL Server experience (T-SQL, stored procedures and query optimisation), • Experience with Azure Data Factory (or similar ETL tools), • Exposure to Microsoft Azure cloud environments, • Experience building or supporting Power BI / Tabular models, • Strong problem-solving skills and attention to detail, • Keen to learn and develop in a cloud-first data environment Nice to have: • Experience with semantic modelling, • Exposure with or strong interest in AI-driven data solutions and/or emerging data trends Working Arrangements: • 3 days per week onsite in their new Farringdon office in London, UK Interview Process • Technical Teams Call, • In-Person Interview If you’re looking for a role where you can deepen your Azure and SQL expertise while contributing to a meaningful, data-driven organisation, we’d love to hear from you.

Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Whether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. How it works - your journey to AI successStep 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn. Step 3: Get Certified Prepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers. Step 4: Real-World Projects Showcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one. Your guaranteed future After completing your training, you'll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home. We guarantee a job offer upon completion or 100% of your course fees refunded. We’re proud to have helped over 1,000 people each year transform their careers. Explore our success stories on our website and see what your future could look like. Ready to future-proof your career? If you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps.

Senior Frontend Engineer | Series A AI Startup | $30M Funding | Enterprise AIOur client are building the next generation of enterprise AI - systems that learn continuously from real-world processes.They're a Series A company backed by $30M in funding and are growing their Product Engineering team to tackle one of the hardest problems in applied AI.The RoleAs a Frontend Product Engineer, you'll build their core platform, enabling an intuitive & user-friendly experience all end clients. Your work will directly shape how users interact with the core product & the value they get from the product. You'll be comfortable working on end-to-end projects, from design through to deployment, being heavily user-centric and understanding user requirements via ongoing engagement with key clients.You'll be an expert in React, having experience of greenfield builds & a track-record of creating intuitive solutions that solve real-world engineering problems,What We're Looking For • Exceptional React expertise, • Excellent understanding of UX and how it features in the end-to-end development of intuitive frontends (of which you will take full ownership), • A strong product-oriented mindset, • Hands-on work with human-in-the-loop feedback, evaluation frameworks, or continuous learning pipelines., • Comfort operating at the boundary between research and real-world impact., • Extremely competitive salary, • Meaningful equity, • Work alongside some of the best talent in applied AI

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

AI Platform Engineer (GCP) Location: London (Hybrid 1-2 Days in Office) Salary: £100,000 + Benefits This is a rare opportunity to shape the foundations of an AI function at a pivotal moment in a company's transformation. You will play a lead role in building production-ready AI systems that automate complex insurance journeys, with the freedom to influence architecture, engineering patterns and long-term strategy. The Company They are a fast-growing, tech-led insurance provider specialising in complex and non-standard risk. Their products are powered by a blend of smart technology and human expertise, enabling faster decisions, tailored coverage and scalable customer support. With investment backing and a newly formed AI leadership team, they are now embarking on the next stage of their journey to become an AI-driven insurer. This role represents one of the first senior hires into their AI team. The Role You will be responsible for: • Build and operate production-grade AI agents on GCP using Google's ADK., • Integrate AI systems with policy, claims and CRM platforms through secure REST and JSON API services., • Develop scalable RAG pipelines including ingestion, text processing, metadata handling and vector search., • Implement observability and evaluation frameworks covering monitoring, A/B testing, accuracy and safety metrics, and cost and latency dashboards., • Contribute to architecture, engineering standards and AI product direction in partnership with the Head of AI., • Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with a focus on AI systems., • Deep knowledge of GCP services, including Vertex AI, BigQuery, Cloud Run or Cloud Functions, Model Garden and ADK., • Strong Python skills for backend development, APIs and data processing., • Hands-on experience with LLMs, embeddings, RAG design, vector databases and retrieval pipelines., • Experience deploying production AI with robust evaluation, monitoring, observability and automated testing. If this sounds like the right next step for you, please apply with your CV to begin the process.

We're hiring an experienced AI Platform Engineer to design, build and operate a production-grade Generative AI platform powering next-generation intelligent products. This is a hands-on engineering role focused on taking AI solutions from prototype to scalable, reliable services used in real-world environments. You'll sit at the intersection of DevOps, cloud infrastructure and applied AI owning the full lifecycle of Retrieval-Augmented Generation (RAG) and LLM-powered systems across modern cloud architecture. This role is about engineering, not research. You will architect and run the infrastructure that enables AI to perform securely, reliably and at scale ensuring performance, cost control and operational maturity as adoption grows. You'll work closely with AI engineers, security teams, and product stakeholders to transform experimental models into hardened, production-ready services while shaping a reusable AI platform capable of supporting multiple products. What You'll Be Doing • Design and optimise scalable RAG pipelines and vector search systems, • Orchestrate multi-model AI services with a focus on latency, resilience and performance, • Productionise GenAI workflows and ensure they operate reliably under real usage, • Build and run AI services across AWS and Databricks, • Develop ingestion, embedding and retrieval pipelines, • Deploy containerised workloads via Kubernetes and Helm, • Implement Infrastructure-as-Code using Terraform, • Introduce end-to-end monitoring, tracing and alerting for AI workloads, • Improve inference and retrieval performance while reducing operational cost, • Establish fault-tolerant, scalable infrastructure patterns, • Embed security, evaluation and governance into the AI lifecycle, • Build CI/CD pipelines and automation to support continuous model deployment, • Create reusable platform components to accelerate future AI initiatives Strong experience in: • Cloud infrastructure engineering (AWS-focused environments), • Kubernetes, containerisation, and distributed systems, • Terraform / Infrastructure-as-Code, • CI/CD, automation, and platform reliability, • Running production workloads with high availability requirements Plus, experience with one or more of the following: • MLOps or ML platform engineering, • RAG architectures, embeddings, or vector search, • Model serving, observability or performance optimisation, • Data / AI workflow orchestration in Databricks or similar ecosystems Why Join? • Work on real-world AI systems operating at scale, • Own platform design decisions and influence long-term architecture, • Blend modern DevOps practices with cutting-edge Generative AI use cases, • Be part of a growing, innovation-driven engineering environment, • Opportunity to define how AI is operationalised across multiple products If you're excited by building the infrastructure that makes AI usable, scalable and reliable in production, we'd love to hear from you. 49914MS INDLON Portfolio Payroll Ltd is acting as an Employment Agency in relation to this vacancy.

Senior .Net Developer | Full Stack Engineer - Build the Future of Data Lineage & AI London (Hybrid) | High-Impact SaaS Engineering Role • C#, ASP.Net Core, TypeScript, React, Computer Science, • Company Size: Approx. 60 Why are they hiring? Product Demand | Scale | Increasing team capabilities As demand for the product increases and market interest builds the team needs greater experience and capabilities for scale. The current team is primarily made up of very clever graduates from ICL led by an experienced Head of Tech. They are looking for Developers to help the team evolve, add rigor and depth of knowledge to take the team and company to the next level. Why This Role Stands Out • Work on genuinely complex engineering problems involving data modelling, visualisation, and emerging AI capabilities., • Own meaningful product features in a small, highly skilled engineering team., • Use a modern technology stack with freedom to innovate and influence technical direction. C#, .NET Core, ASP.NET Core, TypeScript, React, cloud-hosted SaaS architecture, and exposure to AI-assisted development and data visualisation. Who This Would Suit Established, Senior Engineers who enjoy solving complex problems, care about clean architecture and UX, and want a role where their work has visible impact on both product and customers. A degree in Computer Science or Software Engineering is a must. Environment & Culture Hybrid working (usually two days per week in a central London office) alongside a collaborative and ambitious engineering team. A friendly, sociable culture where people genuinely enjoy working together to solve complex challenges and have fun while doing it. You'll also have clear opportunities to learn, develop, and influence the future direction of the technology and team. Interested? If you're an experienced developer looking for a technically interesting role where your work genuinely matters, this is worth a conversation. Hit apply or contact

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 - ideally a blend of 2), • 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 engineer, 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 .

FULL STACK ENGINEER - LONDON (WATERLOO, HYBRID) KEY POINTS • Salary up to £75,000, • Hybrid working - 3 days per week in Waterloo, London, • Python, FastAPI, PostgreSQL, React or Next.js We're working with an ambitious AI-driven organisation building advanced analytics products within the sports sector. Due to continued growth, they're looking for a Full Stack Engineer with 3+ years' experience to take ownership across both frontend and backend development. This is a role for someone who enjoys autonomy, thrives in a small team, and wants to help shape product and technical direction in a fast-evolving environment. THE BENEFITS • Hybrid working (3 days per week in Waterloo), • Salary up to £75,000, • Ownership across the full development lifecycle, • Exposure to AI-powered sports analytics products You'll be responsible for building and deploying modern, data-driven applications. On the frontend, you'll work with React and/or Next.js to deliver clean, responsive user experiences. On the backend, you'll design and maintain APIs using Python and FastAPI, ensuring systems are scalable and performant. You'll work extensively with real-time sports data, translating complex logic into clean, maintainable code. Experience with AWS and Docker in production environments is highly desirable. A genuine interest in sport is non-negotiable. FULL STACK ENGINEER ESSENTIAL SKILLS • 3+ years' commercial software development experience, • Strong Python and FastAPI experience, • PostgreSQL, • React or Next.js, • AWS, • Docker, • Experience building and deploying full-stack applications Please either apply through this advert or email me directly via .For further information please call me on / . By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLSPython, FastAPI, PostgreSQL, React, Next.js, AWS, Docker, Full Stack Development, Software Engineering, Real-Time Applications, Sports Analytics

Machine Learning/Data Engineer £700-750/day overall assignment rate to umbrella Fully remote 3-6 month initial Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth. With 40% of sales from sustainable products, this is a company that combines scale, innovation and purpose. As a Machine Learning Engineer, you'll help maintain the stability and performance of core data and ML systems across Europe. This technical engineering role focuses on reliability, optimisation and critical fixes, ideal if you excel at investigating and debugging complex data flows and ML issues in live production environments. We're looking for individuals with: • Experience: Proven background as a Machine Learning Engineer., • Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib)., • Data transformation & manipulation: experience with Airflow, DBT and Kubeflow, • Cloud: Experience with GCP and Vertex AI (developing ML services)., • Expertise: Solid understanding of computer science fundamentals and time-series forecasting., • Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning). Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

Lead Azure Databricks Engineer About the Role We are seeking a Lead Azure Databricks Engineer to join a specialist consultancy focused on transforming enterprises through modern cloud data platforms, advanced analytics and next-generation engineering capabilities. This role requires strong experience working within the Lloyd's of London or wider London Market insurance environment, with the ability to deliver data solutions that meet strict regulatory, audit and operational standards. You will take ownership of designing, building and optimising large-scale Azure data solutions, working closely with business and technical stakeholders to translate complex data challenges into secure, scalable and production-ready platforms. You will help shape cloud data strategy, define engineering best practice and guide delivery across cross-functional teams. Responsibilities • Build and optimise Azure data platforms using ADF, Data Lake, Azure Functions and Databricks, • Deliver reliable, high-quality data pipelines, • Work with stakeholders to ensure solutions meet Lloyd's of London regulatory, audit and data governance requirements, • Work with stakeholders to make sure solutions meet regulatory requirements., • Promote best practices in engineering, automation and cloud design., • Lead and mentor engineers, setting technical standards., • Extensive engineering experience across Azure Data Services and Databricks in enterprise environments., • Proven delivery experience within the Lloyd's of London or London Market insurance sector, • Deep understanding of Delta Lake, Medallion architecture, Lakehouse patterns and data modelling., • Strong Python, PySpark and Spark SQL capability, • Solid understanding of data governance, • Salary of up to £95,000, • Performance related bonus scheme, • Hybrid working - Up to 3 days working from home Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK, offering more opportunities nationwide than any other recruitment agency. We are proud sponsors of SQLBits, Power Platform World Tour and the London Fabric User Group.

Job Title: Machine Learning Engineer (Mid-Level) Salary: £70,000 Location: London Employment Type: Full-Time The Company Our client is an innovative and rapidly growing technology-driven organisation based in London. The business is building advanced data and AI capabilities to support intelligent products, predictive analytics, and automated decision-making across its platforms. With a strong investment in data infrastructure and machine learning technologies, the company is creating an environment where engineers can work on complex problems, develop scalable ML solutions, and collaborate closely with data scientists, engineers, and product teams. This is an exciting opportunity to join a high-performing team focused on delivering cutting-edge machine learning solutions that have a direct impact on business outcomes and product innovation. The Role The company is seeking a Mid-Level Machine Learning Engineer to design, build, and deploy machine learning models into production environments. You will work closely with data scientists and software engineers to develop scalable ML pipelines, optimise model performance, and integrate machine learning capabilities into production systems. The role involves working with large datasets, building robust ML systems, and supporting the full lifecycle of machine learning solutions—from experimentation to deployment and monitoring. Key Responsibilities Machine Learning Development • Develop, train, and optimise machine learning models for production applications, • Work with large datasets to build predictive and analytical models, • Collaborate with data scientists to transition models from research to scalable production systems ML Engineering and Deployment • Design and maintain machine learning pipelines and model deployment infrastructure, • Implement automated model training, validation, and monitoring processes, • Ensure models are scalable, reliable, and performant in production environments Data Engineering and Infrastructure • Work with data engineers to build efficient data pipelines and feature engineering processes, • Optimise data workflows to support model development and experimentation, • Contribute to the development of robust ML infrastructure and tooling Collaboration and Product Integration • Work closely with product, engineering, and analytics teams to integrate ML models into applications, • Translate business requirements into machine learning solutions, • Communicate technical insights clearly to stakeholders Continuous Improvement • Monitor model performance and retrain models as required, • Identify opportunities to improve algorithms, data pipelines, and system performance, • Stay up to date with emerging machine learning technologies and best practices Skills and Experience • Strong programming skills in Python, • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn, • Experience working with SQL and large datasets, • Familiarity with data pipelines, feature engineering, and model optimisation, • Understanding of MLOps practices, model deployment, and monitoring, • Experience working with cloud platforms such as AWS, GCP, or Azure, • Strong analytical thinking and problem-solving skills Experience Required • 3–5 years’ experience in Machine Learning Engineering, Data Science, or AI development, • Experience deploying machine learning models into production environments, • Background working with large-scale data systems or data platforms, • Degree in Computer Science, Data Science, Mathematics, Engineering, or a related quantitative discipline What the Company Offers • Competitive salary of £70,000, • Opportunity to work on real-world machine learning systems and advanced AI solutions, • Collaborative engineering culture with strong technical mentorship, • Exposure to large datasets and cutting-edge ML technologies, • Clear career progression within a growing data and AI team, • Modern office environment in London This is an excellent opportunity for an ambitious Machine Learning Engineer who wants to work on impactful AI projects and contribute to building scalable machine learning systems within a growing and innovative organisation.

Senior Data EngineerCentral London (2-3 days a week)Salary £90,000 plus benefits.This is an excellent opportunity to take ownership of a modern AWS data platform within a growing financial organisation. You will play a key role in shaping their data environment, strengthening engineering standards, and ensuring their data is ready for analytics and AI initiatives.The Company They are a digital-focused financial services organisation operating across commercial banking, fintech enablement, and lending. Their technology supports a wide range of products, and they continue to invest heavily in modern data capabilities. With strong momentum and a commitment to advancing their UK data function, they offer a place where you can make meaningful technical impact.The Role Design and maintain end to end ELT and ETL pipelines within a large scale AWS environment. Build well structured data models and curated layers to support reporting and analytics. Improve data quality, observability, governance, and overall platform reliability. Lead architectural decisions and support a review of existing workflows and pipelines. Contribute to ongoing transformation and migration projects. Provide technical guidance and mentor a junior engineer.Your Skills and Experience Strong commercial experience working with AWS in production environments. Proficiency in Python and SQL for data processing and orchestration. Experience with Airflow for workflow management. Knowledge of cloud data warehousing, ideally Redshift. Experience with infrastructure as code and CI/CD tooling such as Terraform and GitHub. Ability to build reliable, governed pipelines with strong data quality and lineage practices. * Experience in regulated settings or fast moving scale ups is beneficial.What They Offer Salary of £90,000. Hybrid working with 2-3 days in the office. A comprehensive benefits package including health cover, pension, insurance, enhanced leave, and flexible bank holiday options. Opportunities to influence architectural direction within a modern data and AI function. * Clear progression as the data team continues to grow.How to Apply If this London based Senior Data Engineer role sounds like the right next step, apply now.

Lead AI Engineer £100,000 About the Role We are seeking a Lead AI Engineer to design, develop and deliver advanced AI and Generative AI solutions within a large, complex enterprise environment. This role sits at the centre of the AI-driven technology function, shaping engineering strategy, building scalable AI applications and integrating LLM-powered capabilities into systems used by thousands of colleagues every day. This position is perfect for an engineer who combines deep hands-on technical expertise with leadership capability. You will guide the development of GenAI applications and ensure AI solutions are secure, scalable and production-ready. You will collaborate closely with product managers, data scientists, platform engineers and senior stakeholders to influence technical direction, support strategic decision-making and ensure the consistent delivery of high-quality, high-impact AI solutions. Responsibilities • Lead the design and delivery of AI, ML and Generative AI applications across major digital transformation initiatives., • Translate business and technical objectives into engineering roadmaps and implementation strategies., • Develop scalable AI systems using Python, LLMs and cloud-native services, • Evaluate and optimise Large Language Models, prompts and model performance., • Proven experience developing AI, ML or Generative AI applications within complex environments., • Strong expertise in Python, LLMs, prompt engineering and model evaluation., • Experience with AWS cloud services - particularly Bedrock, Lambda, S3, Lex and CloudWatch., • Salary up to £100,000, • Hybrid working model (London-based), • 25 days annual leave, • Enhanced company pension scheme, • Life assurance and private healthcare options Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK, offering more opportunities nationwide than any other recruitment agency. We are proud sponsors of SQLBits, Power Platform World Tour and the London Fabric User Group.

Senior Safety Engineer - Autonomous & AI Systems Location: London (Hybrid - 3 days in office) Employment Type: Permanent, Full Time About the Company I'm working with a rapidly growing technology start-up developing safety solutions for autonomous and AI-driven systems. Their platform provides a critical "trust layer" that ensures autonomous platforms operate safely, predictably, and in compliance with regulatory frameworks across sectors including aerospace, robotics, and advanced mobility. With multiple projects secured and increasing demand, the company is expanding its engineering team and looking for talented engineers who want to work on real-world safety challenges in next-generation autonomous systems. This is an opportunity to join a fast-moving environment where your work will directly contribute to the safe deployment of advanced technologies. The Role As a Senior Safety Engineer, you will support the development and assurance of safety-critical systems used in autonomous and AI-enabled platforms. Working closely with systems, software, and machine learning teams, you will help integrate safety principles throughout the development lifecycle and contribute to the creation of robust safety cases and certification evidence. This role is ideal for someone who enjoys hands-on safety engineering work and wants to develop their expertise in emerging autonomous and AI safety frameworks within a growing technology company. Key Responsibilities • Work on Exciting Technology Contribute to the safety of next-generation autonomous and AI systems., • Impact in a Growing Company Join a rapidly scaling start-up where your work will have real visibility and impact., • Collaborative Engineering Culture Work alongside passionate engineers solving complex technical challenges., • Hybrid Working 3 days per week in the London office. Contact Coral at DCS Engineering: DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality

Flight Software EngineerUp to £65,000 Competitive Benefits PackageRemote Working Permanent Candidates must be eligible to obtain a SC clearance. Candidates must have right to workin the Uk, no sponsorship is offered. We are looking for a talented Flight Software Engineer to join a fast-growing AI and robotics safety start-up. The business is expanding its engineering team as it continues to build cutting-edge assurance systems for AI-enabled robotics and autonomous systems. The company is developing advanced safety and assurance technology designed to ensure autonomous systems operate safely, predictably and with optimal performance. Their solutions focus on robotics and AI applications where reliability and safety are critical. You will play a key role in developing software components that enable safe and reliable operation of autonomous robotic systems within the company's robotics platform. Working closely with cross-functional teams across embedded systems, AI/ML and systems architecture, you will help design, develop and validate robotics software that meets high performance and safety standards. We are looking for someone who enjoys working in a startup environment and is motivated by solving complex technical problems. This is an opportunity to work on cutting-edge robotics technology while helping shape products from an early stage. Key Responsibilities: This company is an equal opportunity employer and values diversity. They do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Interested? Please submit your CV to Chrissie Rehman at DCS Recruitment via the link provided. Alternatively email me on or call on . DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality

Databricks Data Architect - Hybrid - Permanent Job Summary We are looking for a Databricks Data Architect with Databricks certifications to design and implement scalable data platforms using the Databricks Lakehouse architecture. The role involves building modern data pipelines, optimizing data platforms, and enabling analytics and machine learning capabilities across the organization. Key Responsibilities * Design and implement data architectures on the Databricks Lakehouse Platform * Build and optimize ETL/ELT pipelines using Apache Spark and Databricks * Implement Delta Lake and medallion architecture (Bronze, Silver, Gold) * Ensure data governance, security, and performance optimization * Integrate Databricks with cloud platforms and enterprise data sources * Collaborate with data engineers, analysts, and stakeholders to deliver scalable data solutions Required Skills & Qualifications * Databricks Certification (e.g., Databricks Certified Data Engineer Associate/Professional) * Strong experience with Databricks, Apache Spark, and Delta Lake * Proficiency in Python, SQL, and data pipeline development * Experience with cloud platforms (Azure, AWS, or GCP) * Solid understanding of modern data architecture and big data solutions To apply for this role please submit your CV or contact Dillon Blackburn on or at . Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

Infrastructure / Platform Engineer London or Cambridge Hybrid Working – 3 Days Per Week Onsite An established and rapidly growing AI software company is expanding its Platform Engineering team and seeking experienced Infrastructure or DevOps Engineers to help shape and evolve a production-grade Kubernetes environment. This opportunity is suited to engineers who enjoy building and improving systems from the ground up rather than simply maintaining existing enterprise platforms. The business has successfully migrated to Kubernetes on AWS EKS and is now focused on scaling, refining and strengthening its cloud infrastructure. They are looking for mid-level and senior engineers who can bring hands-on depth, strong architectural understanding and experience operating in fast-paced product environments. The Role • Design, build and evolve AWS cloud infrastructure, • Work extensively with Kubernetes and AWS EKS, • Develop and maintain Infrastructure as Code using Terraform, • Contribute to CI/CD and GitOps workflows, • Improve multi-tenant platform architecture, • Enhance scalability, reliability and automation, • Strong hands-on Kubernetes experience, • AWS production experience, ideally EKS, • Solid Infrastructure as Code expertise, Terraform preferred, • Experience building or significantly evolving cloud platforms, • Comfortable working in dynamic, high-growth or product-led environments Location The role can be based in either London or Cambridge. The team operates a hybrid model with three days per week onsite. If you are looking for an opportunity to work on a technically ambitious platform where you can have real impact, we would welcome your application.

About the Job: We are seeking multiple AI Engineers to join a start-up focused on revolutionising AI Automation for businesses. They're building systems that learn how a business runs and works out what can be automated to save time and money. You'll work directly with clients to build a system that works for them, analysing historical process data from ticket and communications systems. You Need: • You need demonstrable experience of deploying AI Agents., • You need strong Python skills with a grounding in AI or ML., • You must have built AI systems in production., • Continuous learning/ continuous system improvement experience is a plus., • The chance to work on cutting-edge AI tech and develop your skills on a project that makes an impact., • Extremely competitive salary., • The option for equity allows your involvement to be more direct and meaningful. Apply now to be part of the creation of a revolutionary tool to help businesses globally.

Application Engineer, Cambridge or London (hybrid, 3 days onsite) Avanti Recruitment is partnering with a well-established award-winning AI software company that builds advanced technology used by leading organisations to manage and analyse large volumes of complex documents. Founded over a decade ago, the business combines deep technical expertise with real-world impact, operating at scale with enterprise customers while retaining the pace and agility of a product-led technology company. This is an opportunity to join a growing application engineering team working on production-grade systems at the intersection of software engineering, data, and applied AI. THE ROLE As an Application Engineer, you will work within a cross-functional product team, building and scaling features that are used directly by customers. • Develop full stack features across a large, complex platform, • Work with high-volume, data-heavy systems where performance and scalability matter, • Collaborate closely with product managers, QA, and AI-focused R&D teams, • Take ownership of features from design through to production and iteration, • JavaScript and TypeScript, • Node.js, • Modern frontend frameworks (with an ongoing migration to React), • PostgreSQL, Elasticsearch, Redis, • AWS, Docker, Kubernetes, • Strong academic background in Computer Science, Mathematics, Physics, or a related discipline (1st or 2.1 from a good University), • Typically 3–5 years of commercial software engineering experience, with flexibility for exceptional candidates, • Experience building production software, ideally in a full stack environment

Senior Full-Stack Engineer / Software Developer / JavaScript Engineer (Node.js / React / Next.js – AWS Serverless) London (Hybrid – Farringdon Tues/Weds/Thurs) £85k–£90k + Bonus + Excellent Benefits Discretionary bonus (10%), Private Healthcare, 25 Days holiday, 5% pension, Life Insurance, 2 Volunteering days a year, Season Ticket Loan Do you love solving complex problems and building products real people rely on every day? This well-established company has spent 25 years helping some of the world’s most iconic music and media brands tell their stories. With a team of 140 and a deep commitment to craftsmanship, they create stable, high-quality products that professionals actually depend on. We’re particularly interested in engineers who enjoy owning both the frontend experience and the Node.js APIs behind it. You’re a thoughtful, solutions-driven engineer who cares about architecture, performance, scalability, and long-term product impact. You don’t just close tickets, you take ownership, think systemically, and write clean, maintainable code across the entire stack. Collaboration is second nature. You enjoy pairing, knowledge sharing, and healthy technical debate, plus you’re curious about tooling, infrastructure, and how AI can enhance your workflow. The Role: You’ll join a small, cross-functional team spanning product, design, research, engineering, and operations. It’s a flat structure built on shared ownership and trust, with real influence over what gets built and how. You’ll work across the full stack, building polished frontend experiences while also designing and developing Node.js APIs and backend services that power them. Key areas of work include: • Building modern frontend applications with React and Next.js, • Designing and developing Node.js APIs, • Creating scalable backend services within AWS serverless architecture, • Solving complex workflow and discovery challenges, • Improving performance, reliability, and system scalability, • Collaborating closely with product, design, and research teams What Success Looks Like: Within your first 6–12 months, you will have: • Delivered production-ready Node.js APIs supporting key product workflows, • Shipped high-quality React / Next.js features used by customers every day, • Contributed to architecture decisions across frontend and backend services, • Improved performance and reliability of key product areas, • Helped shape engineering practices around code quality, testing, and maintainability Tech Stack: • TypeScript / JavaScript, • Node.js (API development), • React, Next.js, • AWS Serverless (Lambda, API Gateway), • Vercel, • SQL Server, • Algolia, • CI/CD (TeamCity) You Might Be a Good Fit If: • You’re a JavaScript / TypeScript engineer who enjoys working across the full stack, • You have experience building Node.js APIs or backend services, • You enjoy building clean, performant React / Next.js applications, • You care about architecture, maintainability, and product quality, • You enjoy collaborating closely with design, product, and engineering teams What You’ll Find: • A thoughtful, craft-led engineering culture, • Time to make sound architectural decisions, • Close collaboration with product and design, • Genuine ownership and accountability, • A stable, commercially established business delivering real impact in music and media This isn’t “move fast and break things.” It’s about building well, sustainably, and responsibly while solving complex, meaningful technical problems. If you’re a Senior JavaScript engineer who enjoys building both great user experiences and the APIs behind them, apply now or contact Simon Morris at Ithika Recruitment for a detailed discussion. Ithika Recruitment — partnering world-class talent with world-class companies.

London | 12-month FTC | £70k-£90kMonth 1 fully onsite - then hybrid (3 days onsite) Are you an engineer who loves building real AI systems that actually do things?Do you get excited about autonomy and turning manual workflows into intelligent automation? If yes - we'd really like to talk to you. We're hiring an AI Automation Engineer to join a small, highly technical AI team in financial services who are building a brand-new automation tool from the ground up. This is a rare chance to step into a role where your ideas, your engineering approach, and your problem-solving mindset will directly define the outcome. ? Why we need you Right now, critical internal data workflows rely on manual matching, Excel processes, and human-driven calculations. It works - but it doesn't scale, it's slow, and it's time-consuming. We need you to turn this into an intelligent, automated AI system, capable of reasoning, validating, matching and running calculations without human prompting. Your experience in agentic AI, LLM-based automation, Python engineering, and end-to-end build work is exactly what will enable us to replace a manual workflow with a robust, smart, production-ready tool. �? The impact you'll make You will: • Use your Python skills to build an AI-driven automation tool that replaces manual data matching and spreadsheet workflows, • Use agentic AI and LLM-based reasoning to create autonomous workflows, • Design, prototype, iterate and ship - end-to-end, • Collaborate directly with a Head of AI who values independence and technical depth, • Bring engineering discipline to a greenfield automation project, • Create something the entire business will rely on daily�? Why this role is different, • Massive autonomy - you're not one of 20 engineers; your work is the work, • Greenfield build - no legacy code to untangle, • Direct access to technical leadership, • Clear, valuable real-world use case Find me on Linked in Helen Bewick Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

BACKEND ENGINEER - LONDON (WATERLOO, HYBRID) KEY POINTS • Salary up to £75,000, • Hybrid working - 3 days per week in Waterloo, London, • Python, FastAPI, PostgreSQL, AWS & Docker We're supporting a rapidly growing, AI-focused organisation operating within the sports analytics space. Due to continued product expansion, they're looking for a Backend Engineer with 3+ years' commercial experience to help scale and enhance their core systems. You'll be joining a small, highly capable team where engineers take ownership and have a direct impact on product direction and technical decisions. THE BENEFITS • Hybrid working (3 days per week in Waterloo), • Salary up to £75,000, • Real ownership of backend architecture and deployments, • Exposure to cutting-edge AI and real-time data systems You'll design, build, and maintain high-performance APIs using Python and FastAPI, working with large volumes of live sports data. The systems are real-time and data-heavy, so experience with asynchronous programming and scalable backend architecture is important. You'll work closely with the wider team to iterate quickly on new features, optimise performance, and ensure stable production deployments across AWS infrastructure using Docker. A genuine passion for sport is essential. You'll be working with complex sports data and logic daily, so understanding the game behind the numbers is key. BACKEND ENGINEER ESSENTIAL SKILLS • 3+ years' commercial experience in backend development, • Strong Python experience, • FastAPI, • PostgreSQL, • Docker, • AWS, • Experience building scalable, real-time systems Please either apply through this advert or email me directly via .For further information please call me on / . By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLSPython, FastAPI, PostgreSQL, AWS, Docker, Backend Development, API Design, Real-Time Systems, Software Engineering, Sports Data

AI Engineer (Junior Level) Location: Fully Remote (UK working hours)Salary: £40,000 - £50,000Contract: Permanent, Full-time About the Company We're partnering with a fast-growing AI-first biotech startup that has recently secured significant funding and is entering an exciting scale-up phase. The company operates at the intersection of artificial intelligence, biotechnology, and health, using advanced AI models to analyse large-scale biological and medical datasets. With a globally distributed team, they are building next-generation AI systems designed to transform how health and biological data is understood and applied. This is a fully remote role, with collaboration aligned to UK working hours. The Role We're looking for a Junior AI Engineer to join a growing technical team and contribute to the development of AI-driven platforms in a biotech and health-focused environment. This role is hands-on and technical, offering exposure to large biological datasets, AI model development, and modern machine learning workflows, including work with LLMs and data-centric AI systems. You'll work closely with senior engineers, data scientists, and domain experts across biology and healthcare. Key Responsibilities • Build, clean, and maintain AI-ready datasets, working with large-scale biological and medical data, • Support the development and optimisation of machine learning and LLM-based systems, • Assist in designing and improving data pipelines for structured and unstructured biomedical data, • Contribute to experimentation, testing, and validation of AI models, • Degree in a relevant STEM subject (e.g. Biomedical Science, Bioinformatics, Computer Science, Data Science, Engineering, Medicine, Health Sciences, or a closely related field)., • Strong interest in AI applied to biotech, healthcare, or medical data, • Solid programming experience (e.g. Python), • Exposure to LLMs, NLP, or generative AI, • Familiarity with machine learning concepts and data processing, • Experience working with large datasets (academic, research, or commercial), • Experience with biological, clinical, or health-related datasets, • Knowledge of ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn), • Join a well-funded startup at an early growth stage, • Work on cutting-edge AI-driven biotech products, • Fully remote role with a global team To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

Software Engineer – C# / .NET (Automation & Distributed Systems) Fully Remote | £50,000 | London Meetups Every 2 Months We are working with a fast-growing automation and AI-driven software company building backend systems that automate real operational workflows for clients in sectors such as automotive and financial services. This is not a front-end heavy role. It is backend, systems-focused engineering. The team build long-running background services, distributed processing systems and automation workflows that move data between platforms and trigger real-world business actions. What You’ll Be Doing • Building and maintaining C# /.NET backend services, • Developing long-running background processes and hosted services, • Designing and supporting distributed systems, • Working with SQL Server and optimising data performance, • Integrating systems via APIs and automation tooling, • Supporting and debugging production systems, • C# / .NET, • ASP.NET Core, • SQL Server, • Azure, • Background services / hosted services, • Messaging systems (e.g. RabbitMQ or similar), • Strong C# /.NET backend experience, • Experience building or maintaining background services, • Exposure to distributed systems or microservices, • Solid SQL knowledge, • Some Azure experience, • Comfortable working in a fast-paced environment The Setup • Fully remote, • London meetups roughly every two months (travel expensed), • Small, senior-leaning engineering team, • Two-stage interview process

?? Senior Software Engineer (Generative AI Platform) - 6-Month Contract - £650/day (Outside IR35) Location: UK or Europe (Europe preferred - remote-friendly)Rate: £650/dayDuration: 6 months (strong extension potential) A high-performance engineering group is building a next-generation Generative AI platform designed to enable autonomous software-engineering agents and fully agentic workflows. This is a rare opportunity to operate at the frontier of AI-for-coding, working with emerging tools and shaping what engineering will look like in the next decade. If you're excited by LLM-powered development, agentic reasoning, and building new systems in Go - this is your contract. ?? What You'll Be Working On • Engineering Go (Golang) services forming the core of a large-scale GenAI developer platform., • Building autonomous AI agents that write, review, debug, and execute code in real time., • Developing agentic, multi-step workflows for planning, orchestration, reasoning, and iterative improvement., • Working within Claude, Cursor, and other cutting-edge AI developer environments., • Collaborating with a senior engineering organisation delivering high-impact projects across a major global tech ecosystem.?? What We're Looking For, • Deep, hands-on experience with Go (Golang) in production systems., • Strong background in AI-for-coding, LLM-driven development, or autonomous agent frameworks., • Experience designing or building LLM-powered platforms, tooling, or automation., • Knowledge of distributed systems, event-driven architectures, or platform engineering., • Passion for fast-moving, experimental R&D environments where the tech evolves daily.? Why This Contract, • You'll work in a domain with breakthroughs happening constantly - no legacy, no stagnation., • You'll stay plugged into the absolute forefront of Generative AI, engineering automation, and emergent agentic systems., • Exposure to large-scale, high-impact projects inside a global technology ecosystem., • The chance to influence architecture, AI agent behaviour, and how future engineering organisations will operate., • A role ideal for engineers who love experimentation, innovation, and high-autonomy problem solving.�? Who Should Apply?, • Contractors anywhere in Europe (preferred), • Contractors in the UK (also welcome), • Engineers with strong AI-for-coding experience and solid Golang fundamentals

Role Overview: We are looking for a highly analytical, hands-on Full Stack Data Scientist / Engineer to design, build and deploy data-driven solutions that solve real operational and commercial problems. This role is ideal for someone who enjoys combining data science, software development and data engineering to create robust, scalable solutions that deliver measurable business value. You will work across the full lifecycle of analytics and AI delivery: from understanding business problems, designing data pipelines and developing models, through to deployment, optimisation and ongoing improvement. You will play a key role in shaping solutions across forecasting, site selection, ordering, production, rota scheduling, logistics and online services optimisation, while also helping to extend our Bread GPT large language model insight synthesis capability.This is a hands-on role for someone who can code well in Python, solve data engineering challenges, and work closely with colleagues and partners to turn ideas into production-ready solutions. Business Overview We are a fast growing and fast paced, highly successful artisan food manufacturing and hospitality group delivering high-quality baked goods to our customers. We aim to feed better people better by focusing on people, technology, innovation and sustainability. We are looking for a talented Full Stack Data Scientist / Data Engineer to join our team and drive the development and management of our enterprise-grade applications across our bakeries. Responsibilities: • Develop advanced analytics / data science solutions to solve problems focused on forecasting, new site selection, ordering, production, rota scheduling, logistics and online services optimisation., • Extend functionality of our Bread GPT service (Large Language Model insight synthesis engine)., • Data engineering: build and develop ETL processes in Microsoft Fabric to support reporting, insight and applied AI models, • hands-on role working with other staff and partners., • Utilize data science and analytics to enhance application functionality and performance. Work with the data team to create and deploy machine learning models and AI-driven solutions for real-world applications., • Ensure the continuous development and delivery of solutions., • Monitor and evolve solutions., • Mentor and guide junior team members, fostering a culture of continuous learning and improvement., • Develop effective working relationships with colleagues within and beyond the Technology team to ensure that a consistent, high-quality service is delivered. ARE YOU THE MISSING INGREDIENT • Ideally a bachelor's degree in Computer Science, Analytics, Engineering, or a related field., • Minimum of 3+ years of experience within excellent knowledge of Python and preferably R., • Knowledge of ETL processes – ideally basic understanding of Microsoft ETL (Data Factory / Synapse / Fabric), • Knowledge of databases (SQL & NoSQL) and API development/integration., • Understanding of software development and application design., • Proven experience in building data science solutions and developing customised LLM applications., • Strong interest in technology., • Excellent problem-solving skills and attention to detail., • Knowledge of effective business analysis - ability to gather, document, and analyse business requirements effectively and the experience creating user stories, process flows, and wireframes., • Ability to work effectively in a fast-paced, dynamic environment., • Strong communication and collaboration skills., • “Can do” outlook and approach to work., • Demonstrate the ability to think around issues and look at the bigger picture to provide solutions through a variety of problem-solving techniques., • Experience in manufacturing, retail or hospitality industries., • Knowledge of programming languages and frameworks. BENEFITS BAKED IN • Free food and drink when working, • 50% off food and drink when not working, • 33 days holiday, • Pension Scheme, • Discounts and Savings from high-street retailers and restaurants, • 24 hour GP service, • Cycle to work scheme, • Enhanced Maternity package, • Development programmes for you to RISE with GAIL’s

Oracle Data Engineer - Inside IR35 - RemoteRole Overview We are looking for a mid-senior level backend/infrastructure developer to join our engineering team and help maintain, improve, and modernise a core enterprise system. You will work closely with existing developers to maintain and upgrade a Java-based monolithic application backed by an Oracle PL/SQL database, gaining deep knowledge of the system and the business processes it supports. Alongside maintenance work, you will help introduce modern engineering practices and cloud-based development approaches, contributing to the ongoing evolution of the platform. This role combines hands-on backend development, database work, operational support, and system modernisation, making it ideal for someone who enjoys understanding complex systems and improving them over time. Key Responsibilities * Maintain and enhance a Java monolithic application with an Oracle PL/SQL database * Pair with existing developers to learn system architecture, domain logic, and business processes * Refactor and improve legacy PL/SQL and database-driven business logic * Support ongoing system upgrades, reliability improvements, and performance optimisation * Contribute to cloud-oriented development and infrastructure improvements * Work within modern engineering practices including TDD, CI/CD, and Agile delivery * Participate in 3rd line support, diagnosing and resolving production issues * Identify opportunities to automate or streamline operational and support workflows * Collaborate with engineers and stakeholders to improve the overall data and platform architecture Required Skills & Experience * Strong experience as a backend software developer * Experience working with Java-based systems * Solid problem-solving and debugging skills * Experience working with databases and SQL * Experience with test-driven development (TDD) * Experience working in Agile development environments * Familiarity with CI/CD pipelines and modern development practices * Ability to collaborate effectively through pair programming and team-based development * Strong communication and stakeholder engagement skills Desirable Skills * Experience with Oracle databases and PL/SQL * Experience supporting or modernising large legacy systems * Exposure to cloud platforms or cloud-native development * Familiarity with Python (or willingness to learn) * Experience with RDS or managed database platforms * Interest in data engineering or database architecture To apply for this role please submit your CV or contact Dillon Blackburn on or at . Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Role: Full Stack Engineer Location: City of London (3 days per week onsite) Day rate: £500pd-£540pd (Inside IR35) Duration: 12-month initial contract We are currently recruiting for 3 Full Stack Engineers for a client in the financial service space. The client requires Engineers who have experience with UI, APIs, C#, AWS, Python and Terraform. You must be an excellent communicator, due to the work required on the project, along with experience in either R Programming, Delivery Management or Business Analysis. These requirements make up the 3 roles. Key Responsibilities • Design, build, and maintain internal applications and services that support clients' investment processes, from research workflows through to decision-support tooling., • Enhancing tools that support portfolio and strategy decision-making., • Improving research workflows to accelerate insight generation and reduce friction., • Strengthening self-service tooling that enables analysts to build, test, and deliver their own decision-ready outputs., • Experience working in investment or finance, with sufficient domain familiarity to be productive quickly without significant onboarding in core financial concepts., • Strong proficiency in the following technologies: C#, Python, SQL, Terraform, AWS, • Proven ability to work directly with stakeholders and users to understand problems and deliver effective solutions., • Strong analytical and problem-solving skills with a structured, methodical approach., • Excellent communication and collaboration abilities., • (Must have at least one of the following): R Programming, Delivery Management or Business Analysis, • Experience building user-facing applications (web UI) and backend services/APIs., • Experience delivering innovative and proof-of-concept work projects. If you are interested in the role and feel your experience aligns to the above, please click on the link for immediate consideration.

Data Engineer Ncounter are supporting a specialist technology consultancy delivering advanced data and AI platforms into highly secure Government and Defence environments. We are seeking a DV Cleared Consultant Engineer to join a growing engineering practice working at the sharp end of national security programmes. This is a deeply technical, hands on role suited to engineers who enjoy solving complex data integration and workflow challenges within secure, mission critical settings. Core experience required: • Active DV clearance, with willingness to work onsite within secure UK locations, • Strong software engineering capability in Python, SQL and TypeScript, • Proven delivery of complex data engineering solutions across cloud and on prem environments, • Experience designing and optimising ETL pipelines and data models at scale, • Ability to integrate AI or machine learning components into operational systems, • Confident stakeholder engagement within Defence or other classified programmes You will operate across the full engineering lifecycle, translating ambiguous operational problems into robust technical designs and scalable implementations. Working closely with end users and technical stakeholders, you will design and build secure data pipelines, engineer ETL processes, and develop operational workflows that drive real world decision advantage. Exposure to Palantir style platforms such as Foundry or Gotham, or similar large scale data integration environments, is highly desirable You will be expected to challenge assumptions, improve architectural standards and deliver solutions that are secure, performant and supportable in highly constrained environments. This is not a generic consultancy post, it is a technical engineering role where code quality, system design and secure deployment truly matter. If you hold active DV and want to apply your engineering expertise to programmes of national importance, contact Ncounter for a confidential discussion.

Role: AI/LM Engineer - Cybersecurity SpecialistLocation: London - hybridRate: £730per day inside IR35Contract: 38 weeks (likely extension) Responsibilities: As a Cybersecurity Specialist, you will be responsible for bringing hands on experience with leading AI technologies and platforms, primarily AWS Bedrock, Azure OpenAI, Microsoft 365 and other foundation model providers, to help teams adopt these capabilities securely and effectively. Provide guidance on model security, deployment patterns, guardrails, integration architectures, observability, evaluation techniques, and safe operationalization across business use cases. Translate platform specific risks, limitations, and best practices into actionable engineering patterns and governance controls. Mandatory skills: 1. Master proficiency in Network Encryption is required. Expert proficiency in Secure AI is recommended.2.Master proficiency in Microsoft Azure Active Directory Security, along with intermediate proficiency in AI Agents, Amazon Bedrock, and Microsoft Azure AI Foundry, is suggested. You are expected to be a subject matter expert, collaborate and manage the team to perform effectively. You will be responsible for team decisions, engage with multiple teams, and contribute to key decisions while providing solutions to problems for your immediate team and across multiple teams. Master proficiency in Network Encryption is required. Expert proficiency in Secure AI is recommended. Additionally, master proficiency in Microsoft Azure Active Directory Security, along with intermediate proficiency in AI Agents, Amazon Bedrock, and Microsoft Azure AI Foundry, is suggested. • Develop innovative security strategies to enhance application security.• Conduct regular security assessments and audits to identify vulnerabilities.• Collaborate with cross-functional teams to ensure security best practices are implemented.• Stay updated on the latest security trends and technologies to inform security architecture decisions.• Mentor team members on application security principles and practices.

Technical Product Owner / UI Product Engineer South West London (3 days onsite) £55,000 – £70,000 An established London-based SaaS business is looking for a hands-on Technical Product Owner with a strong frontend background to help shape and refine a mature, revenue-generating platform. The company has been operating for over 20 years and has a stable, collaborative engineering team. They are now focused on improving usability, refining workflows and bringing more structure to how product ideas are captured and delivered. This role would suit someone who began their career as a Frontend Developer or Product Engineer and has since moved into product ownership, but still enjoys working close to the detail. What you’ll be doing • Listening to ideas from stakeholders and customers and shaping them into clear, structured requirements, • Writing detailed product specifications ready for engineering, • Prototyping features and workflows in Figma, • Using modern AI tools to accelerate ideation and early-stage validation, • Working closely with developers to ensure solutions are practical and well-defined, • Improving UI consistency and overall product clarity, • Background in Frontend Development or Product Engineering, • Experience in a Product Owner or Technical Product role, • Strong UI and UX awareness, • Confident writing clear specifications and user stories, • Experience working within a SaaS environment

• Location: London, • Days in the Office: 2 days per week, • Job Title: Senior Engineer, • Key Skills:, • Work embedded in a cross-functional team with software developers, technical product owners and testers all working together towards common goals to develop JVM applications using Test Driven Development and Pair Programming, • Drive the design and implementation of our systems, knowing the context and why we are implementing what we are implementing, whilst always looking to improve our systems and ways of working, • Mentor and coach other engineers, • A willingness to pair program, • Must-Haves:, • Strong verbal communication and collaboration skills, • In-depth knowledge and hands-on experience in a cross-functional, agile development team, • Enthusiasm for code development and education in this area, • Nice-to-Haves:, • Experience in pair programming, • Proficiency in idiomatic Kotlin for application development, • Experience:, • Extensive knowledge of Java programming language (5 years+), • 5+ years practical experience in test driven development, • AI Integration:, • We have an AI special interest group and are adopting AI based on individual context

We’re building AI assistants that live in the real world — answering calls, joining video rooms, running in physical spaces. It’s not a research project, this is a chance to work on a product launching in real-word locations and scenarios. We’re looking for someone who wants to build products and own problems end-to-end, work directly with customers, and get things done without layers of PMs or design teams. If you’re the kind of engineer who likes to be left alone to build — and then sit down with product owners to see if it actually works — this might be for you. What You'll Do • Build real-time AI products using Python, AWS, LiveKit, • Shape AI assistants for genuine human interactions, • Own problems end-to-end — no PM bureaucracy, • Deploy scalable infrastructure (ECS, Lambda, DynamoDB), • Work directly with customers to iterate fast, • Frontend development when needed (React/React Native) What We Want • Python expert comfortable with large, async projects, • Interest in cutting-edge AI: RAG, Knowledge Graphs, Graphiti, • AWS confident — infrastructure doesn't intimidate you, • Ship-it mentality — you want to build products people actually use, • London-based (hybrid work), • Independent worker who enjoys talking to users Why Join Us • Early role in a shipping product with real customers, • Big project, small team — your code matters, • Zero bureaucracy — just build and deliver, • Shape a real-world AI project from the ground up Ready to build AI that actually works?

Your new companyWorking for a globally renowned financial organisationYour new roleWe're looking for a Senior Software/ Data Platform Engineer to help evolve a large-scale financial data platform. The environment includes both long-standing enterprise systems and modern AWS cloud services. The platform handles high-volume structured data and supports internal systems and customer-facing products.A big part of the role involves working with large SQL Server environments, so strong SQL skills are essential. You'll help modernise core systems, improve performance and reliability, and build scalable backend and data services.This role suits engineers who are comfortable working across legacy and modern architectures and who have strong experience designing and building reliable APIs and data services.What you'll need to succeed • Great professional experience as a Senior Software/ Data Platform Engineer in financial services., • Strong SQL Server expertise (queries, stored procedures, indexing, performance tuning), • Experience with large relational datasets, • Backend development experience in Python or C#, • Some experience with designing API's, • Experience working in AWS environments, • Experience with complex enterprise or legacy systems, • You've modernising legacy systems, • Building data pipelines or ETL processes, • Using AI-assisted development tools Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Our client, a leading global bank, is seeking an experienced Senior Software Engineer to join their Risk Technology & Market Data team within Corporate IT. This is an excellent opportunity to play a key role in developing and delivering enterprise-grade Risk IT solutions that support risk functions within a world-class financial institution. Key Responsibilities * Design, develop, and maintain high-quality, testable software aligned with internal standards and best practices * Build and enhance CI/CD pipelines, DevOps processes, and automation to support continuous delivery * Contribute to system architecture, ensuring scalability, reliability, and performance across Risk platforms * Collaborate closely with Risk and Market Data teams to deliver robust, compliant technology solutions * Implement automated testing frameworks and integrate them into development workflows * Explore and apply AI/ML-driven innovations to improve system performance and risk analysis * Work effectively with global teams across multiple locations Key Requirements * Strong hands-on experience in software engineering using C# and .NET Core * Solid understanding of CI/CD tools and practices (e.g., Jenkins, TeamCity, Git, Nexus) * Experience within enterprise-level or investment banking environments, ideally in Risk Technology * Familiarity with scripting languages such as PowerShell or Python * Understanding of service communication protocols (e.g., WCF, gRPC, messaging technologies like RabbitMQ) * Exposure to AI, machine learning, or data-driven development is advantageous * Excellent communication, analytical, and problem-solving skills * Self-driven, reliable, and able to deliver high-quality work in a complex, fast-paced environment Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

Location: London, Watford or Bristol (Hybrid working options available) The Lead Data Engineer will provide hands-on technical leadership in Azure cloud and Databricks-based solutions within our Enterprise Data Platform. The role requires strong expertise in Azure cloud services, Databricks, data engineering, and DevOps, leading a cross-functional team to build, deploy, and support high-performance data-driven solutions. The role involves: • Interpreting Outcomes and user stories and translating them into technical solutions., • Creating innovative solution designs for domain and enterprise data products., • Overseeing Data Analysts to support detailed data discovery., • Overseeing data modelling for Finance and Enterprise data products., • Leading Product Increment planning to break down solutions into Features and Epics for incremental delivery., • Designing and implementing scalable data solutions on Azure and Databricks within the assigned domain., • Ensuring appropriate engineering standards are applied to maintain data quality, performance and reliability. Duties/Responsibilities • Work with Product Owners and Business Analysts to understand Outcomes, refine user stories., • Lead solution design for Finance and Enterprise data products, ensuring alignment with enterprise patterns and guardrails., • Direct and collaborate with Data Analysts on detailed data discovery, source understanding and requirements refinement., • Oversee logical and physical data modelling for Finance and Enterprise data products, working closely with architecture where required., • Implement and maintain data pipelines and ETL workflows in Databricks (PySpark, Delta Lake)., • Contribute to CI/CD pipelines for data applications using Azure DevOps and infrastructure-as-code (Terraform) in line with established patterns., • Apply security, access control and compliance standards for Azure and Databricks in collaboration with platform and security teams., • Support monitoring, logging and basic cost optimisation for the team’s data products., • Support the development of DevOps practices within the team, including reducing technical debt and improving automation over time. Skills, Knowledge and Experience Lead Data Engineers are expected to have strong capability in at least three of the following areas of engineering practice. Core skills • Automation including testing of data pipelines and data products., • Strong teamwork, communication and problem-solving skills to collaborate effectively with cross-functional teams., • Awareness of security principles and best practices to ensure secure data solutions., • Commitment to continuous learning and staying current with Azure, Databricks and data engineering trends., • Strong experience working within an agile development methodology, ideally Scaled Agile (SAFe or similar)., • Excellent time and self-management through effective planning and prioritisation of tasks., • Proven and demonstrable data engineering capability., • Ability to influence within the team and communicate clearly with technical and non-technical stakeholders. Data Engineer (New Technology / Microsoft) • Strong experience with Databricks (Spark, PySpark, Delta Lake, and Unity Catalog advantageous)., • Proficiency in Azure data services (Azure Data Factory, Data Lake, Azure Functions advantageous)., • Experience contributing to CI/CD pipelines (Azure DevOps, GitHub Actions, Terraform)., • Scripting and programming skills (Python advantageous)., • Good understanding of DevOps and automation concepts (e.g. YAML pipelines, IaC)., • Solid understanding of cloud security, compliance and governance principles., • Experience working with Databricks and Azure in a product or Scaled Agile delivery environment. Qualifications • Degree level IT or technical/scientific subject (or equivalent experience)., • Microsoft Azure Data Engineer or Solutions Architect certification (desirable)., • Databricks Certified Data Engineer or Machine Learning Associate (desirable)., • Experience with streaming solutions (Kafka, Event Hubs, Spark Streaming) (desirable)., • Knowledge of machine learning and AI on Databricks (desirable).

Robotics Software Engineer (Flight Software) £55,000 Oxfordshire or London, UK (Remote with monthly office visits) Permanent We are looking for a talented Robotics Software Engineer to join SAIF Autonomy, a fast-growing start-up developing cutting-edge assurance systems for AI and robotics. In this role, you'll help design and implement software that ensures the safe operation of AI-enabled robotics and autonomous systems within our SAIF Robotics product line. Key Responsibilities: * Develop robotics software for the SAIF Robotics product. * Support algorithms for perception, planning, control, and decision-making. * Collaborate with cross-functional teams to integrate software into systems. * Test and optimize robotics software to meet performance standards. * Contribute to process improvements in development, tooling, and testing. Key Skills and Experience: * Bachelor's/Master's degree in Computer Science, Aerospace, Robotics, Electrical Engineering, or related field. * Experience with robotics, embedded systems, or autonomous systems. * Proficient in C/C++ and/or Python. * Familiar with ROS, Gazebo, or MoveIt. * Strong problem-solving, debugging, and analytical skills. * Must have, or be able to obtain, UK SC clearance. Desirable Skills: * Experience with safety-critical software standards (e.g., DO-178C, ISO 26262). * Exposure to robotic hardware or simulation environments. What You Get in Return: * Competitive salary up to £55,000. * Salary sacrifice pension with 5% matched company contribution. * Generous holiday allowance. * EV Car Scheme. * Cycle to Work Scheme. * Additional benefits as the company grows. SAIF Autonomy is an equal opportunity employer and values diversity. Interested? Please submit your CV to Chrissie Rehman at Dcs Recruitmenr via the link provided. Alternatively emailme on or call on . DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality

AI Engineer London, in-person 5 days per week. Competitive Salary between £160,000 and £180,000 base plus benefits. This is an opportunity to join a high-growth AI scale-up where you will build and deploy production-grade models that sit at the core of the product. You will work directly with an exceptional founding and engineering team, shipping advanced AI features into live customer workflows at pace. The Company They are a fast-growing technology business applying generative AI to complex, document-heavy workflows for global customers. The product is already used commercially and is central to how clients manage and automate specialist knowledge work. Backed by leading investors and with a strong balance sheet, they are now scaling their engineering and AI teams significantly. You will be part of a highly technical, in-office culture focused on shipping high-quality product quickly. The Role • Design, build and deploy production AI models that directly power core product features., • Work across the stack to take ideas from research and prototyping into robust, user-facing systems., • Implement, test and optimise model evaluation pipelines to improve quality and reliability., • Collaborate closely with engineers, product and research to design new AI features end to end., • Strong commercial experience as an AI-focused engineer or software engineer with deep AI exposure., • Excellent Python skills and a track record of writing production-quality code., • Experience building and deploying ML or LLM-driven systems into live environments., • Solid software engineering fundamentals across backend and, ideally, some frontend experience., • Familiarity with modern web and data technologies such as React, TypeScript, APIs, relational databases and cloud infrastructure., • Comfortable working in a fast-paced, in-person environment and collaborating closely with a highly technical team., • Base salary up to £185000, with potential flexibility for exceptional profiles., • Meaningful equity package, giving you real ownership in the business., • Standard pension and a high-quality in-office environment, including weekday meals., • Visa sponsorship available where required., • The chance to work directly with founders and senior engineers on complex, high-impact AI problems. If you are interested in this opportunity, please apply below or email me at

Job Title: Python Developer/Fullstack Engineer Location: Address: London - WC2H 8AG Mode of working: Hybrid (3 Days in the Office) Duration: 6+ Months contract initially Job Specification: Role Overview We are looking for an experienced Software Engineer who can work independently on developing new features, supporting existing platforms, and communicating effectively with stakeholders. The role requires strong technical ownership and the ability to contribute in a fast-paced, evolving environment. Key Responsibilities: • Independently design, develop, and deliver new features, • Maintain and support existing platforms and applications, • Collaborate with Product Managers, UX Researchers, and Engineers, • Communicate progress, risks, and updates clearly to stakeholders, • 5 to 10 years of relevant software development experience, • Python, • Angular, • AI or Artificial Intelligence

Role/Job title: Artificial Intelligence Engineer! Mode of working – London- 3 days onsiteType of Employment- PermanentThe Role:As an Artificial Intelligence Engineer, you will bring deep expertise in full-stack development and AI system design to complex enterprise environments. This role demands hands-on experience in building and deploying AI/ML solutions, a strong grasp of software engineering principles, and proficiency with cloud platforms. You will play a key role in developing scalable, intelligent systems that drive innovation and deliver measurable business value.Your Responsibilities:Full Stack Development: Design, develop, and maintain end-to-end AI solutions, including front-end interfaces, back-end services, and data pipelines.AI System Development: Implement and optimize AI models, ensuring they are scalable, maintainable, and production-ready. Work on GenAI, Agentic AI, and classic ML solutions.Enterprise Integration: Integrate AI solutions with existing enterprise systems and ensure seamless operation within the client and #39;s technology stack.Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to identify opportunities and deliver robust AI solutions.Technical Leadership: Provide technical guidance and mentorship to junior engineers. Lead the implementation of best practices in AI/ML development and deployment.Innovation: Stay updated with the latest advancements in AI/ML technologies and contribute to the development of innovative solutions.Your ProfileEssential skills/knowledge/experience:Proficiency in Python and extensive experience with AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK).Experience with state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude), including prompt engineering, fine-tuning, and evaluation.Hands-on experience with core GenAI frameworks (e.g., LangChain, LlamaIndex) and Agentic AI frameworks (e.g., AutoGen, CrewAI, LangGraph).Proficiency in MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes).Strong working knowledge and practical deployment experience on major cloud platforms (AWS, Azure, GCP), including their AI/ML services.Strong foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems.Experience in designing and implementing enterprise-grade AI solutions, including RAG-based solutions with LLMs and vector databases (e.g., Pinecone, Weaviate, FAISS).Proven experience in full stack development and AI/ML system implementation within enterprise environments.Strong grasp of advanced techniques such as complex task decomposition for agents, reasoning engines, knowledge graphs, and autonomous agent design.Excellent communication and stakeholder management skills.Experience working on client proposals and leading technical presentations.Rewards and Benefits:TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network.We offer health and wellness initiatives and sports events; we are the proud sponsor of the London Marathon.

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.