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Machine Learning Engineer | Early Stage Deep Tech Start Up | London I am partnered with an early stage, London based start up that is building an AI native intelligence layer for private market investing. The platform transforms fragmented documents, deal histories, and proprietary investment data into structured, searchable intelligence for private equity, venture capital, and private credit teams. They are hiring a Founding Machine Learning Engineer to join at early stage, with real ownership over both the core technology and the product direction. This role suits someone with a strong academic background from a leading university, alongside clear evidence of success in high ownership projects: Responsibilities • Design and build machine learning models for document understanding, knowledge graphs, and data extraction, • Develop generative AI systems for research, summarisation, and investment memo drafting, • Solve complex problems involving unstructured and proprietary private company data, • Contribute to technical architecture and applied research direction, • Work closely with the founders on product decisions and feature delivery On offer • The opportunity to build a deep tech AI model and conduct original, applied research, • Founding engineer responsibility with high visibility and influence, • Hybrid working model in London, • Salary up to £70k plus substantial equity, • Genuine ownership over what is built from day one If you meet the above criteria and want to help build foundational AI technology within a small, ambitious team, please get in touch.

Role: Rust Distributed Systems Software Engineer - Up to £200k + Bonus Salary: Up to £200k + Bonus Location: London (Hybrid) Skills: Language agnostic, just need to be a keen technologist (Ideally experienced in Rust, Python or C++) This firm is an elite company with high tech standards who have previously set tech world records. They are made up of some exceptionally talented individuals who above all are passionate about using the latest and greatest tech and pushing it to the limits. They’ll find the best team to suit your skillset/interests but you could be working on: • Designing and developing scalable, tested and production grade distributed systems, • R&D work for functional programming; either pre-existing languages (such as Rust and Erlang), or purpose-built languages similar to OCaml, • Building out Machine Learning Infrastructure and tweaking research models What else is in it for you? • Software Engineers are treated as the company's #1 asset, • Low attrition rate; people working there love what they do on a daily basis!, • Very friendly, tight-knit environment, • Flat structure, with a clear progression route

SC Cleared / SC Clearable Machine Learning Engineers – Contract I’m currently supporting a UK-based organisation delivering advanced technical solutions into highly regulated environments across government, defence and national infrastructure. We’re looking to speak with Machine Learning Engineers interested in contract opportunities (£500–£650 per day). This role is focused on traditional Machine Learning, with a strong emphasis on Computer Vision — not GenAI / LLM work. What we’re looking for: • 3+ years’ commercial experience in Machine Learning, • Strong experience in Computer Vision (e.g. object detection, image classification, segmentation), • Experience building, training and optimising ML models, • Python (NumPy, Pandas, scikit-learn) and frameworks such as TensorFlow or PyTorch, • Experience deploying models into production environments (cloud platforms, Docker, CI/CD pipelines) Clearance requirements: • Active SC Clearance, or, • SC Clearable (must have resided in the UK continuously for the last 5 years) These roles offer the opportunity to work on impactful, real-world projects where robust ML solutions are critical. If you’re exploring new contract opportunities and meet the above criteria, please apply or drop me a direct message.

Senior Machine Learning Engineer Location: London, UK About the Role We’re looking for an experienced Machine Learning Engineer to lead the development and training of advanced large-scale language models. In this role, you will be responsible for pushing the performance and reliability of next-generation AI systems, specifically focusing on models that assist with complex real-world tasks. You’ll work closely with cross-functional teams including infrastructure, product and research to shape both the training pipeline and the evaluation of highly capable models. Key Responsibilities • Design and execute large-scale training experiments on multi-GPU and distributed environments using cutting-edge ML frameworks., • Lead both supervised fine-tuning (SFT) and reinforcement learning (RL) workflows to improve model performance on domain-specific tasks., • Build, maintain, and optimise custom training pipelines, including dataset preparation, distributed training primitives, and scheduling of multi-node jobs., • Collaborate across engineering and research teams to align training goals with product priorities and performance metrics., • Troubleshoot training challenges such as stability, scaling issues, and GPU utilisation bottlenecks. What We’re Looking For • Experience: 3–5+ years working in ML engineering or applied machine learning roles, with hands-on responsibility for training and deploying models in production-like environments., • Technical Skills:, • Strong proficiency with PyTorch including distributed training (e.g., DDP/FSDP)., • Practical experience training large sequence models or transformer-based architectures., • Comfortable building and maintaining data pipelines, optimising large datasets, and handling model scaling challenges., • Solid software engineering fundamentals — clean, maintainable code and version control best practices., • System Knowledge: Hands-on experience with multi-node GPU clusters, orchestration tools (e.g., Kubernetes, Slurm) and performance tuning., • Communication: Clear and effective communicator, able to share insights with both technical and non-technical stakeholders. Desirable Qualities • Experience with reinforcement learning workflows and sequence-level reward strategies., • Familiarity with model evaluation tools and benchmarks for large-scale AI systems., • A proactive, collaborative mindset that thrives in a fast-moving environment where innovation and experimentation are central.

Senior AI Engineer (NLP / LLMs) – remote (UK based) £70-100k depending on experience A high-growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex, end-to-end data workflows, solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business and regulatory requirements into scalable, reliable AI systems. This is a hands-on role for someone who enjoys owning outcomes, balancing experimentation with real-world delivery. What You’ll Be Doing • Designing and developing NLP and LLM-driven solutions for complex, real-world use cases, • Fine-tuning and adapting foundation models using domain-specific data, • Building evaluation frameworks, prompt testing tools and data preprocessing pipelines, • Monitoring, optimising and maintaining deployed models for performance, cost and reliability, • Implementing explainability, fairness and bias-mitigation strategies, • Collaborating on MLOps pipelines, CI/CD workflows and production deployments, • Mentoring junior engineers and promoting best practices across the team, • Staying current with advances in AI, NLP and MLOps to drive continuous improvement What We’re Looking For • Proven experience as an AI or Machine Learning Engineer with end-to-end model ownership, • Strong expertise in NLP and LLMs (transformers, fine-tuning, RAG, agents), • Experience translating research and experimentation into production systems, • Solid understanding of MLOps, including CI/CD, monitoring and model lifecycle management, • Hands-on experience with Docker and Kubernetes, • Experience working in regulated or sensitive domains, • Exposure to graph-based retrieval techniques, • Experience with Azure ML and DevOps integrations

Role: Staff AI Engineer - GenAI (Dubai based) Join a high-performing Data Science & MLE team whose mission is to drive competitive value through scalable AI solutions. The team builds models that enhance user experiences, enable better decision-making, improve operational efficiency, and shape the regional AI ecosystem. As a senior technical leader, you’ll help define the future of personalization and user engagement using Generative AI and advanced machine learning. Key Responsibilities • Lead end-to-end AI transformation focused on personalization in a consumer-facing application., • Define and execute a long-term vision for customer acquisition and engagement strategies powered by data and AI., • Conduct exploratory analysis to understand user behavior, discover optimization opportunities, and develop behavior models to inform product enhancements., • Design and deploy data/ML instrumentation to extract insights and optimize the product experience., • Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses., • Build and scale machine learning algorithms and pipelines to production using big data technologies., • Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications., • Design and evaluate A/B tests and communicate results across cross-functional teams., • Define, implement, and monitor key performance metrics for AI-driven product features., • Stay up to date with industry advancements in data processing and AI/ML, and introduce best practices into the organization. Requirements • 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data., • Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred), • Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment)., • Expertise in deep learning architectures (e.g., attention models, transformers, retrieval models)., • Hands-on experience with LLMs and GenAI technologies., • Strong programming and problem-solving skills with proficiency in Python, SQL, Spark, and Hive., • Deep understanding of classical and modern ML techniques, A/B testing methodologies, and experiment design., • Solid background in ranking, recommendation, and retrieval systems., • Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.)., • Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy., • Bonus: Experience with geospatial data and advanced analytics platforms.

Stax is hiring for a breakthrough robotics spin-out from Imperial College London that is redefining how robots learn. The company has recently developed a new, extremely efficient imitation learning approach that is creating entirely new opportunities for deployment of intelligent robots. Backed by leading European deep-tech investors (£4.3m raised), the company is now assembling its founding engineering team as it moves from world-class research towards real-world commercial impact. This is a rare opportunity to join a brand-new robotics startup with major growth expected. The Opportunity This is a hands-on, high-ownership role for a highly talented engineer who wants to solve genuinely hard robotics problems, collaborating closely with world-leading robot learning researchers. You will take full ownership of the robotics stack that interfaces directly with learned models, ensuring that learned policies translate into robust, reliable behaviour on real robot arms. What You’ll Be Working On Real-World Robot Manipulation • Owning the full robotics stack for robot manipulation, • Implementing motion planning, trajectory optimisation, and operational space control, • Deploying and evaluating learned policies on physical robots, • Designing and deploying ROS 2 systems, • Integrating perception, learning, simulation, planning, and control pipelines, • Working closely with our robot learning researchers and machine learning engineers, • Working closely with partners to deploy robots in real-world industrial environments The Ideal Candidate Profile Must-Haves • 2+ years of experience working with real robot manipulators (industry or PhD), • Deep understanding of, and experience in implementing, state-of-the-art robot planning and control algorithms, • Hands-on experience with ROS 2, • Experience with computer vision and vision-based robot manipulation, • Experience with real-world imitation learning systems Why This Is Special • Founding team role in a highly ambitious robotics startup developing genuinely novel and state-of-the-art technology, • Backed by top-tier European deep-tech venture capital investors with major growth anticipated, • Competitive salary and meaningful equity, with a clear path toward senior or leadership responsibility as the company scales, • An opportunity to experience fast-paced startup culture in our large North London lab and office space Interested? If you’re excited to be part of this, we’d love to speak with you. Please note: due to the anticipated volume of applications, we may only be able to respond to candidates selected for further consideration.

New Permanent Opportunity for an Enhanced DV Cleared Data Scientist / AI Engineer in Central London. • Must have active enhanced DV Clearance, • Junior to Lead levels available, • £45k to £95k DoE plus 15% clearance bonus, • Must be willing to be full-time on-site in Central London, • Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You’ll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements • Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis., • Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes., • Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors., • Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform., • Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call me on 0161 416 6800 or 07719065951 - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning

Do you want to shape how AI transforms game development at global scale? Have you built production ML systems that go beyond research prototypes? Are you ready to lead technically without taking on line management? A tier-1 global gaming and consumer technology brand is hiring a Principal Machine Learning Engineer into its Research function in London. This team sits at the forefront of applied AI, building systems that improve how large-scale games are tested, validated, and shipped. The focus is on automating QA through intelligent gameplay agents and advanced video-based ML systems. You will lead technically, drive delivery, and mentor others while remaining hands-on across research and production. Key Responsibilities • Lead design of anomaly / defect detection systems for automated QA, • Build and optimise computer vision models on video data, • Drive applied research (e.g. self-supervised, multimodal, VLM-adjacent work) into production, • Own end-to-end ML lifecycle from experimentation to deployment, • Provide technical mentorship and delivery planning across projects, • Collaborate with engineering and research stakeholders to scale systems Key Details • Salary: £140,000–£210,000 base, • Bonus: 20%-30%, • Working model: London – 1 day per month onsite, • Tech stack: Python, PyTorch/TensorFlow, video/CV systems, production ML tooling, • Visa: Sponsorship available Interested? Please apply below.

The Company: A highly regarded Wealth Management firm, accredited for being a great company to work for. The Role: The Data Scientist (Python Developer) will be part of the Chief Commercial Office and is dedicated to supporting the engine development of the Wealth Management firm’s custom CRM solution, Pharos. This engine looks to generate ‘prompts’ for the Front Office to help prioritise client engagements and brings together algorithmic business rules and model-based prompts to generate these. The Data Scientist will be working with the principal data scientist, data engineer and data analyst to develop the CRM capabilities and enhance the effectiveness of the solution within the Wealth Management firm. The Data Scientist (Python Developer) will implement additional algorithmic rules identified by the Wealth Management business into the CRM solution. Enhance and refine the logic in the data processing component of the engine and support the front office in diagnosing questions they may have off the back of the outputs of the engine. The Data Scientist (Python Developer) will contribute to the refactoring the Python codebase to allow scale, adhering to software development best practices. Support in the identification of and development of new data science applications within the CRM and collaborate with the data analyst to produce analytics tools and insights to the Wealth Management business. Contribute to the evolution of broader analytics initiatives by supporting data-driven strategy development. The Data Scientist (Python Developer) will work closely with stakeholders to ensure compliance with regulatory requirements and data privacy standards, particularly in the handling of sensitive client data. The Candidate Advanced Python skills - Essential, with strong knowledge of Pandas, Numpy, and Scikit-learn Degree in computer science, data science, maths, engineering or similar Strong understanding of machine learning models and model appropriateness, probability and statistics Strong SQL skills essential , Git version control essential Visualisation; PowerBI desirable or alternatively experience with other tools (e.g. Tableau, Qlik, etc) and willingness and ability to learn PowerBI. Team player with ability to forge relationships Excellent stakeholder management and communication skills Ability to work Independently and proactively

Do you want to work on interesting data problems to drive commercial value? Have you taken models from prototype to production in messy, real-world environments? Are you ready to work with senior stakeholders in private equity portfolios? We’re hiring for a fast-growing, London-based investment-focused AI firm that partners with private equity and investment groups to embed data science and machine learning into portfolio companies. Backed by recent investment and partnered with leading European PE firms, the business is scaling its deployment team to deliver measurable value across diverse industries. This Senior Data Scientist / Senior Machine Learning Engineer role sits within the deployment group, working hands-on with portfolio companies post-deal to design, build, and deploy ML solutions that improve real business outcomes. Projects are varied, impact-driven, and typically delivered over 2–6 month cycles. Key Responsibilities • Own end-to-end ML delivery from problem definition through deployment, • Build and productionise models across forecasting, pricing, churn, segmentation, fraud, and NLP use cases, • Work closely with data engineers and cloud infrastructure to scale solutions, • Translate technical work into clear commercial impact for senior stakeholders, • Contribute to code quality, deployment standards, and best practices Key Details • Salary: £90,000–£110,000 base + 15–20% discretionary bonus, • Working model: Hybrid, 2–3 days per week in a central London office (flexible), • Tech stack: Python, SQL, Databricks, AWS/GCP/Azure, Git, Docker, • Benefits: 7% employer pension, private medical (family cover), life assurance, income protection, 25 days holiday + bank holidays, • Visa: Sponsorship available Interested? Please apply below.

🤖 Junior AI Engineer (0–2 years) | Competitive Salary | London & Luton | Hybrid Working 🚀 Are you a Junior AI Engineer looking to kick-start your career working on real-world machine learning systems used at scale? We’re looking for a curious and motivated Junior AI Engineer to join a collaborative, data-driven technology team, working in a flexible hybrid setup with offices in London and Luton. This role is ideal for someone early in their career who’s excited about applied AI, enjoys building things that go into production, and wants to learn from experienced engineers in a fast-moving environment. You’ll be part of a modern engineering function working on large-scale data and AI products, contributing to model development, data pipelines, and deployment workflows that power mission-critical platforms. 🔍 In this role, you’ll: 🤖 Build, train, and evaluate machine learning models using Python 📊 Work with large, complex datasets to support AI-driven products and insights 🧠 Assist with feature engineering, model experimentation, and performance optimisation ☁️ Contribute to data and ML pipelines in cloud-based environments 🗄 Work with structured and semi-structured data using SQL 🚀 Support the deployment and monitoring of models in production environments 🤝 Collaborate closely with data engineers, software engineers, and product teams 📐 Help maintain best practices around testing, documentation, and reproducibility 🌟 What’s in it for you? 📈 Career Development – Hands-on experience, mentorship from senior AI and data engineers, and clear progression paths 💡 Learning Culture – A team that encourages curiosity, experimentation, and continuous improvement 🏢 Hybrid Working – A flexible mix of remote work and time in London and Luton offices 🌍 Real-World Impact – Work on AI systems used by global customers at scale 💰 Competitive Package – Salary and benefits based on experience, including bonus, pension, and generous annual leave ✅ What we’re looking for: 🎓 A degree in Computer Science, AI, Data Science, Mathematics, Engineering, or a related field 💼 0–2 years of experience in AI, machine learning, or software/data engineering (including internships, placements, or academic projects) 🐍 Strong Python skills for ML and data processing 🗄 Experience working with SQL and structured datasets ☁️ Familiarity with cloud platforms and modern data stacks 🧠 A solid understanding of machine learning fundamentals and data workflows 💬 Strong communication skills and a collaborative mindset ⭐ Big bonus points for: ❄️ Experience with Snowflake 🧱 Experience with Databricks ⚙️ Exposure to ML pipelines, MLOps, or production ML systems If you’re excited about building AI systems, learning fast, and growing your career in a supportive, high-impact environment, we’d love to hear from you. 👉 Apply now and take the next step in your AI engineering career.

AI Engineer London (Hybrid – 3 days a week in office) Up to £100,000 About the Company We’re supporting a global, market‑leading wellness and fitness organisation that is scaling its AI capabilities at pace across multiple international markets. With a mission centred on improving people’s lives through wellness, the company blends technology, data, and modern engineering practices to enhance member experience, drive commercial growth, and unlock operational efficiency. The organisation has recently invested heavily in a cutting‑edge AI function, with a mandate to design, build, and deploy end‑to‑end AI solutions that solve meaningful, real‑world business problems. This is an environment where AI engineers work hands‑on with cross‑functional teams and where shipped solutions make a tangible impact across digital products, marketing, operations, and member experience. The Role They’re now hiring an AI Engineer to join a growing AI team delivering production‑grade AI systems across the business. This role sits at the intersection of software engineering, machine learning, and applied data science — ideal for someone who enjoys building real products, not just prototypes. You’ll work end‑to‑end: from problem framing and data preparation, through modelling and experimentation, to deployment, monitoring, and iteration. You’ll collaborate with teams across Digital, Marketing, Operations, Finance, and Governance to translate business challenges into robust, ethical AI solutions. If you want to build AI systems that genuinely impact users, unlock commercial value, and scale across multiple markets, this offers a rare level of ownership and breadth. Key Responsibilities • Act as a hands‑on builder of AI‑powered products from idea to production., • Combine software engineering, data engineering, and ML/LLM skills to deliver scalable solutions., • Rapidly prototype, test, and iterate with real stakeholders and real data., • Work closely with business teams to identify opportunities and define success criteria., • Translate real operational problems into actionable AI solutions., • Build models using classical ML (e.g., tree‑based methods, forecasting, uplift) as well as LLMs and generative AI., • Develop predictive solutions such as churn, propensity, next‑best‑action, and lead scoring., • Build APIs, services, and integrations enabling AI models to power real products., • Embed AI into digital journeys, CRM systems, member apps, and internal tools., • Manage the full lifecycle of models: deployment, monitoring, alerting, retraining., • Build scalable pipelines and ensure reliability, performance, and efficiency. Requirements • Proven experience in applied data science, ML engineering, or software engineering with strong AI/ML responsibility., • Proven track record delivering AI/ML solutions into production., • Experience working closely with business teams such as Marketing, Product, or Operations., • Background in one or more of: personalisation, customer analytics, conversational AI, recommendation systems, optimisation, or marketing analytics., • Deep understanding of ML fundamentals across the full lifecycle., • Hands‑on experience with ML frameworks (scikit‑learn, XGBoost, PyTorch, TensorFlow, LightGBM)., • Strong exposure to LLMs, prompt engineering, RAG, and evaluation frameworks., • Familiarity with MLOps tooling: CI/CD, experiment tracking, model registries, monitoring, containers. Please note: This role cannot provide VISA sponsorship.

Our client is expanding its advanced AI capability across mission-critical platforms used in environments worldwide. Fimador are seeking a rare blend of hands-on AI engineer, technical authority, and team leader — to shape how their intelligent systems are designed, built, and responsibly deployed at scale. This is not a management-only role. This is for someone who still loves to build, solve complex engineering problems, guide other engineers, and set the technical direction for AI across large, high-impact systems. Key Responsibilities: • Architect, design, and deliver scalable AI and machine learning solutions end-to-end., • Remain hands-on in building complex AI components and solving model or system challenges., • Lead, mentor, and technically guide a team of AI engineers and developers., • Define engineering standards, development practices, and quality benchmarks for AI initiatives., • Own technical estimations, feasibility assessments, and delivery quality across AI workstreams., • Lead technical troubleshooting, root cause analysis, and performance optimisation., • Collaborate closely with architecture, product, and DevOps teams to embed AI into larger ecosystems., • Continuously assess and introduce new AI tools, frameworks, and approaches to maintain innovation. About you: This role suits a senior engineer who has evolved into a technical leader without losing their passion for building. • Ideally a degree in Computer Science, Engineering, or similar., • 5+ years of software engineering experience using modern object-oriented languages (e.g., Java, C#, Python)., • Strong Python capability alongside at least one other major language., • Practical experience building with Generative AI technologies in real solutions., • Experience leading or mentoring engineering teams (6+ engineers)., • Strong foundations in OOP, system design, and engineering best practices., • Hands-on knowledge of AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn., • Experience with orchestration/integration frameworks such as LangChain or Semantic Kernel., • Solid understanding of ML concepts (supervised/unsupervised learning, transformers, CNNs/RNNs, model evaluation)., • Experience with prompt engineering, RAG pipelines, and model fine-tuning., • The judgement to identify where AI adds value — and where it doesn’t., • Experience deploying and operationalising LLMs (exposure to Microsoft AI Foundry or Ollama advantageous)., • Strong grasp of CI/CD, testing, version control, secure coding, and modern engineering workflows., • Exposure to MLOps tools such as MLflow, Kubeflow, or Azure ML.

Senior Machine Learning/AI Engineer • £100,000-£125,000, • Hybrid working model: three days per week in the office (Monday, Tuesday, plus one flexible day) LDN, • 27 days of annual leave plus 8 bank holidays and 5 additional days, including life event, volunteering, and company-wide wellbeing days., • Private medical insurance, medical cashback, life insurance, gym membership, wellbeing resources, and access to mental health support., • Opportunity to work remotely from anywhere for up to 10 days per year. We are currently partnered with a company that believes technology should empower everyone to achieve their potential. As an Senior Machine Learning/Applied AI Engineer, the successful candidate will turn cutting-edge AI research into real-world products that make learning and development smarter, more personalised, and more impactful for thousands of users. The Senior Machine Learning/Applied AI Engineer role sits within a growing Applied Science team and is focused on building, deploying, and scaling AI systems that operate in real production environments. This is a senior, hands-on role for engineers who have moved beyond experimentation and have delivered LLM-powered systems that directly impact products, users, or business outcomes. Key Responsibilities • Design & Deliver AI Solutions: Partner with Product, Design, and Data teams to shape and deliver AI-powered features that drive meaningful impact for learners and create value for customers., • Leverage Large Language Models (LLMs): Design, fine-tune, and integrate LLM-powered solutions for use cases including content generation, semantic search, summarisation, and personalised learning experiences., • Build & Integrate Models: Develop, fine-tune, and embed machine learning models into production systems using modern AI tooling, ensuring solutions are scalable, reliable, and performant., • Own the End-to-End Lifecycle: Take responsibility for the full lifecycle, from raw data and experimentation through deployment, monitoring, and continuous iteration., • Measure What Matters: Track performance, accuracy, and adoption of AI features, using insights to drive continuous improvement., • Enable Others: Share expertise and help make AI approachable, enabling teams across the organisation to enhance their work with AI., • Lead in MLOps & Cloud Infrastructure: Build robust pipelines for model training, deployment, monitoring, and retraining using AWS and modern MLOps best practices., • Champion Innovation: Stay ahead of emerging AI tools and techniques, applying them to deliver exceptional, user-focused experiences. What the Company Is Looking For • Hands-On AI/ML Expertise: Experience building and deploying machine learning models using frameworks such as PyTorch, TensorFlow, or scikit-learn., • LLM Experience: Proven experience working with large language models (e.g. GPT, Claude, Gemini) in production environments, including prompt engineering, evaluation, and safety considerations., • Strong Engineering Skills: Proficiency in Python and TypeScript, with experience building APIs, microservices, and cloud-native applications., • Modern AI Tooling: Familiarity with emerging AI development tools such as Cursor and Gemini is highly desirable., • Cloud & MLOps: Practical experience deploying AI solutions on AWS, including CI/CD, model versioning, observability, and retraining pipelines., • Data Fluency: Skilled in working with structured and unstructured data, including preprocessing and feature engineering., • User-Centred Mindset: Ability to translate complex AI capabilities into intuitive and seamless product experiences., • Collaborative Approach: Thrives in cross-functional, creative teams and values building together., • Growth Mindset: Curious, open to feedback, and committed to contributing to an inclusive, high-performing culture. Click apply to be considered for shortlisting.

Why Socure? Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. At Socure, software engineers are embedded in product-focused teams dedicated to designing and building systems that operate at scale and deliver meaningful, real-world impact. We engage directly with customers to drive satisfaction and foster continuous improvement across our product suite. As a Senior Backend Engineer, you will lead the design and implementation of distributed systems, take ownership of critical non-functional requirements—including scalability, security, and reliability—and mentor fellow engineers while remaining hands-on in development. Your expertise will play a pivotal role throughout the entire software development lifecycle: from architecture and implementation to testing, documentation, and production support. This position is perfect for backend engineers who are passionate about building robust systems with Golang, thrive in a product-driven environment, and want to shape technology at scale. What you'll do: • Architect, develop, test, and debug scalable backend services within distributed systems., • Own and deliver key non-functional requirements, including scalability, availability, performance, and security., • Author and maintain comprehensive tests (unit, integration, functional) to ensure exceptional coverage and reliability., • Produce and contribute to technical documentation for internal knowledge sharing and external collaboration., • Decompose complex projects into clear, actionable tasks and drive them through to completion., • Mentor and support engineers through code reviews, technical guidance, and sharing of best practices., • Collaborate cross-functionally with product managers, designers, and engineers to deliver impactful features., • 5–8 years of professional software engineering experience, with substantial expertise coding in Golang (ideally in product-based companies)., • Strong programming fundamentals, problem-solving ability, and system design skills., • Deep understanding of concurrency, multi-threading, and distributed computing concepts., • Experience building microservices architectures and developing RESTful APIs., • Excellent analytical and reasoning skills, particularly in visualizing and simplifying complex systems., • Experience with high-throughput, low-latency systems is highly desirable., • Familiarity with cloud platforms (AWS/GCP), NoSQL databases, big data analytics, or machine learning services is a plus., • Growth mindset with a genuine desire to learn, grow, and contribute to building best-in-class backend systems. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.

🔥 Who We Are At ___, we relentlessly drive innovation in AI, building the world's leading ___. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join ___ and help shape the future of ___. 🌎 Location and Legalities This full-time Computer Vision Engineer position is based onsite in our brand-new ___ in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship. 🚀 What You'll Do As a Computer Vision Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class, ___. You will drive the entire lifecycle of our models, from research to real-world deployment. Key responsibilities include: • Developing, training, and optimizing state-of-the-art ___, with a primary focus on the ___ ecosystem., • Implementing advanced ___ and preprocessing techniques to improve model robustness on diverse ___., • Leading the full lifecycle of model development, from research and ___ to ___ and performance ___., • Mastering model ___ to various formats such as ___, ___, and ___ to support a wide range of hardware., • Working on model ___ strategies, including optimizing models for high-performance inference on both cloud and ___., • Contributing to our ___ pipelines using ___ to ensure code quality, reliability, and automated testing. 🛠️ Skills and Experience • 5+ years of hands-on experience in ___ and ___., • Expert-level proficiency in ___ and deep expertise with ___., • Strong practical experience with ___ for image and video processing tasks., • Proven experience in training, fine-tuning, and deploying object detection models, particularly within the ___., • Familiarity with model optimization techniques such as quantization and pruning, and deployment frameworks like ___ and ___., • Experience with MLOps tools and practices, including version control (Git), ___, and ___., • Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment., • A strong portfolio of projects or contributions to open-source ___. 🌟 Cultural Fit - Intensity Required Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our ___. Our ___ thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI. 💶 Compensation and Benefits • Competitive Salary: Highly competitive based on experience., • Startup Equity: Participate directly in our company's growth and success., • Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remote., • Generous Time Off: 24 days vacation, your birthday off, plus local holidays., • Flexible Hours: Tailor your working hours to suit your productivity., • Tech: Engage with cutting-edge ___ and our ___., • Gear: Brand-new Apple MacBook and Apple Display provided., • Team: Become part of a supportive and passionate ___. If you are driven to redefine the capabilities of ___ and eager to make a significant impact, ___ offers an exceptional career opportunity.

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. We are looking for the Senior Perception Engineer - Spatial Understanding & Navigation to join our team based in London, UK. What You'll Do • Develop next-generation spatial understanding systems for robot locomotion and manipulation, integrating perception and high-level reasoning., • Work on open-ended navigation powered by Vision-Language-Action (VLA) models — enabling robots to understand context, predict intent, and act in complex, dynamic environments., • Design and scale auto-labeling and large-scale data pipelines to train and evaluate multimodal models for navigation and interaction., • Develop and implement scene understanding and 3D reconstruction methods that give robots persistent spatial memory and geometric awareness., • Collaborate with cross-functional research and engineering teams to bring large vision-language models into real-world robotic systems., • Stay ahead of the field — rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap What We're Looking For • Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, VLAs, transformers, diffusion, or multi-modal architectures)., • Strong background in scene understanding, spatial reasoning, or 3D reconstruction from visual data., • Proficiency in PyTorch and hands-on experience building, fine-tuning, and deploying large-scale ML systems., • Strong experimental and research skills — capable of taking projects from concept to model training, evaluation, and robot integration., • Comfortable working in a fast-moving, research-driven environment with evolving models, data, and tools. What We Offer • Competitive salary plus participation in our Employee Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Private Health Insurance, • Office perks: free hot breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

AI Engineer [Analyst] – Early Career Role About the Job As an early‑career AI Engineer at Cerberus, you’ll join a small, high‑impact team building AI systems that power decision‑making across a global investment platform. You’ll work alongside experienced AI engineers, data scientists, and technologists to deliver real products used by investment teams and portfolio companies. This role is ideal for: • PhD graduates in a STEM field with applied ML, optimization, or computational experience; or What You’ll Do Build and deliver ML systems Work with senior engineers to design, train, and deploy machine learning models and data-driven tools that support investment and operational decision-making. Contribute to real production deployments Help integrate ML models into business workflows, build data pipelines, and support the rollout of AI applications across teams. Experiment and iterate Prototype ideas, test assumptions, and rapidly evolve solutions based on real user feedback and real-world constraints. Learn modern tooling and practices Gain hands-on experience with ML frameworks, cloud infrastructure, MLOps tools, and best practices for building scalable AI systems. Communicate clearly Translate technical findings into clear, structured insights for collaborators across technical and business teams. Grow as an AI engineer Develop skills across the full ML lifecycle—data processing, modelling, evaluation, deployment, and ongoing improvement. Sample Projects You Might Work On GenAI for due diligence Support the configuration, extension, and rollout of our in-house GenAI platform across investment teams. Work with senior engineers to customise workflows, analyse model outputs, and drive adoption. Automated Deal Sourcing Tools Help build prototypes that extract signals from datasets and integrate with APIs to enrich leads. Support the creation of modular ML-driven components that can be used across investment strategies. (Both examples are reframed so junior team members contribute meaningfully but are not expected to independently lead full workstreams.) Your Experience We don’t expect candidates to have experience across all areas—what matters most is strong technical fundamentals, curiosity, and a willingness to learn quickly. Foundational skills • Degree in a STEM field., • PhD candidates: applied research involving ML, optimisation, simulation, statistics, numerical methods, NLP, or related areas., • Experience writing clean, maintainable Python code., • Applied AI experience such as exposure to LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.) and experience with small personal or internship projects building agents or AI-driven workflows., • Comfortable working with data, performing analysis, and writing SQL queries., • Familiarity with tools like MLflow, Weights & Biases, or cloud platforms (Azure, AWS, or GCP)., • Strong problem-solving skills, • Curiosity and eagerness to learn, • Pragmatic, impact-driven approach, • Ability to work collaboratively in a fast-paced environment About Us We are a growing team of AI specialists—data scientists, ML engineers, software engineers, and technology strategists—working to transform how a global investment firm with $65B+ in assets uses data and AI. We operate like a startup within the firm: fast, collaborative, and focused on delivering real value. Our work spans investment desks, portfolio companies, and core operations, giving early-career engineers wide exposure and the opportunity to grow rapidly.

🚀 Applied AI Engineer – Agentic AI 🚀 ✨ Series A Fintech start-up backed by incredible Founders ✨ 💎 The kind of equity you actually realise 💎 📍 London, Hybrid 💸 £100k - £200k base (level-dependent) 💲 $160k equity vested over four years, with yearly draw-down 💗 Onsite chef, barber, catered breakfasts, gym membership Join this rapidly scaling AI-native Fintech start-up that’s already raised a significant Series A and is now building its core AI engineering team. This is a career-defining role, and given the NOISE in the AI job market right now, this is the AI start-up to pay attention to - it could be one of the best career decisions you make. 🚀 The company is building production-grade agentic AI systems for complex, high-stakes enterprise workflows. You will work shoulder to shoulder with the Founders themselves, leadership and exceptional peers every day. There are no layers, no hand-offs, and no slow approvals. The intensity is intentional - it’s about learning faster, shipping faster, and taking ownership much earlier than most roles allow. We're looking for strong software engineers who’ve already put AI systems into production, are comfortable across backend, data, and infrastructure, and don’t flinch when priorities shift. Ambiguity is part of the job. So is growth. On the work itself: you’ll own large parts of the agentic AI infrastructure end-to-end. That means designing and deploying multi-agent systems, building RAG pipelines, creating evaluation frameworks that actually measure quality and safety, and shipping AI features used by real enterprise customers. You’ll build backend services and APIs (Python, FastAPI/Django), work across infrastructure and deployment pipelines, and ensure everything holds up in production. You won’t be endlessly tuning prompts or churning out throwaway PoCs. This is about owning systems. Exceptional engineers choose environments like this because the talent density raises their bar, founder access is direct and unfiltered, and a single year here can compress several years of learning elsewhere. Now is the time to join at this inflexion point - huge funding round just raised, requirement to scale at a ferocious pace = RAPID career growth for you. Experience required • Educated to at least degree level in a relevant subject; Mathematics, Statistics, Machine Learning, Engineering, Science etc., • 4+ years in AI/ML engineering with a foundation in software engineering OR a recent move from pure software engineering into Agentic AI., • Hands-on experience building and deploying LLM/agentic systems into production., • Strong software engineering foundations: orchestration, memory, deployment, and monitoring is ESSENTIAL., • Familiarity with agentic frameworks (LangGraph, ReAct, CoT loops) and/or proven ability to build without them., • Knowledge of PyTorch/TensorFlow, RAG, vector databases, and orchestration tools., • Background in start-ups (hands-on generalists) or consultancies (client exposure)., • Independent, entrepreneurial mindset; thrives without hand-holding. #agenticAI #AIjobs #Softwareengineeringjobs

About Persistent: We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem. Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 21 sequential quarters of growth with $389.7M in Q1 FY26 revenue, up 3.9% Q-o-Q and 18.8% Y-o-Y growth. Our 25,000+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been named the fastest-growing Indian IT services brand in the “Brand Finance India 100” 2025 report. We were also cited as a Leader in the ISG Provider Lens™ 2025 for Digital Engineering Services 2025 and the Everest Group Talent Readiness for Next-generation Application Services PEAK Matrix® Assessment 2025 About Position and details: • Role: Full Stack Engineer, • Location: Glasgow, UK, • Hybrid: 2 days to office Looking for Expertise in advanced Java and open-source technologies. Skilled in Spring Boot, Hibernate, Microservices, Docker, Kubernetes, JPA, MySQL, SQL Server, Snowflake, REST API, Apache Kafka, Jenkins, CI/CD, Python, Machine Learning, Data Analytics. Leveraging GitHub Copilot to enhance productivity and reduce delivery timelines. Core Competencies • Languages: Java (7–17), Python, • Frameworks: Spring Boot 3.x, Hibernate, JPA, Microservices, Apache Kafka, Docker, Kubernetes, API gateways, JWT, Spring MVC, Spring Cloud etc., • Tools: Jenkins, Maven, Gradle, Git, SonarQube, check style, Spotless, GitLab, Bitbucket, etc., • Databases: MySQL, SQL Server, Oracle, MongoDB, Snowflake, Derby, • Reporting tools: Aqua scan, Checkmarks, SonarQube, Datadog, Soda, SSRS, etc., • Cloud: Azure, AWS (S3) basic, • Others: REST APIs, ElasticSearch, New Relic, CI/CD, ETL, Swagger, Postman, Rancher, Data Analytics, ML Models, GitHub Copilot, Jira and Confluence. Key Responsibilities • Full Stack Development: Build and maintain scalable web applications using Java (Spring Boot), Python (Fast API /Django), or Node.js for the backend., • AI/ML Integration: Work closely with Data Scientists to deploy and integrate ML models (including LLMs, Predictive Models, and NLP) into production environments via RESTful APIs., • Database Management: Design and optimize schemas for both SQL (Oracle, PostgreSQL) and NoSQL, (MongoDB), Snowflake databases., • Competitive salary and benefits package, • Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications., • Opportunity to work with cutting-edge technologies., • Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards, • Annual health check-ups “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

Senior Software Engineer (React) Location: London (Hybrid) Experience: 7+ Years Sector: Elite FinTech Firm Compensation: Up to £200,000 Base + Industry Leading Bonus + Comprehensive Package A leading FinTech firm in London is seeking a talented Senior Software Engineer to join its growing technology team. This is an opportunity to work in a fast-paced, high-performance trading environment where technology is central to the firm’s success across multiple asset classes. The Role They’ll find the best team to suit your skillset/interests but you could be working on UI for: • Some of the world’s most performant ETL pipelines that deal with billions of data points every second, • Software solutions/products with scale, reliability and latency considerations in mind, • Machine Learning Infrastructure and search models, • Quant Logic/Research models for Alpha Generation Key Responsibilities • Design, develop, and maintain scalable, high-performance applications, • Build modern frontend interfaces using React., • Collaborate with cross-functional teams including traders and quants Requirements • 7+ years of professional software engineering experience, • Strong experience in React, • Bachelors Degree in Computer Science (or similar) is preferred If the above is of interest, please apply or email me directly at

Data Engineer – Permanent Location: London (Hybrid) Salary: £65,000–£95,000 + Benefits (DOE) Employment Type: Full-time, Permanent Overview We are seeking an experienced Data Engineer to join our growing technology and analytics function in London. This role is ideal for someone who thrives in building modern data platforms, enabling high‑quality data pipelines, and collaborating closely with Data Science, Engineering, and Product teams to deliver scalable data solutions. The successful candidate will play a key role in designing, developing, and maintaining the data infrastructure that powers analytics, reporting, automation, and AI/ML use cases across the organisation. Key Responsibilities • Design, build, and maintain scalable, secure, and reliable data pipelines (batch and streaming)., • Develop and optimise ETL/ELT workflows to ensure efficient data ingestion and transformation., • Build and maintain data models, feature stores, and data marts to support analytics and AI initiatives., • Work with cloud platforms (AWS, Azure, or GCP) to design and deploy data solutions., • Implement data quality rules, validation processes, and observability tooling., • Collaborate closely with Data Scientists, Analysts, and Software Engineers to deliver high‑impact projects., • Contribute to the evolution of the data architecture, including modernising legacy systems., • Support CI/CD, Infrastructure‑as‑Code, and best‑practice engineering standards., • Strong experience with Python and/or SQL in a production environment., • Hands-on experience with modern data engineering frameworks such as:, • Apache Spark, Databricks, • Airflow / Prefect / Dagster, • Kafka / EventHub / Kinesis, • Experience building data solutions on at least one major cloud platform (AWS, Azure, or GCP)., • Strong understanding of data warehousing concepts, dimensional modelling, and schema design., • Experience working with CI/CD pipelines and Git-based workflows., • Familiarity with Infrastructure-as-Code (Terraform, CloudFormation, ARM, etc.)., • Experience supporting Machine Learning pipelines or feature engineering., • Knowledge of containerisation (Docker, Kubernetes)., • Experience with dbt for modelling and transformation., • Background in financial services, payments, trading, or other data-rich environments., • Problem-solver with strong analytical thinking., • Comfortable working in cross-functional teams., • Proactive, curious, and able to work with autonomy., • Competitive salary + bonus, • Pension & healthcare, • Learning & development budget, • Hybrid working (typically 2–3 days in the London office), • Opportunities to work on high‑impact data and AI projects

Our Client: Join a high-growth technology and AI consultancy recognised for delivering exceptional outcomes across Defence, Healthcare, Finance, and Commercial sectors. Our client has built a reputation for solving some of the most complex data challenges in government and enterprise, earning industry recognition for innovation, engineering excellence, and strategic impact. Following a landmark acquisition by a global consulting powerhouse in 2025, the client now combines boutique technical expertise with global scale, creating an exceptional environment for ambitious engineers. As a Full Stack Data Engineer, you will join a consultancy where AI meets deep engineering capability. Our client is trusted to deliver transformational data platforms that support smarter decision-making across a wide range of industries. The Full Stack Data Engineer role offers the opportunity to work on projects that genuinely make a difference, applying advanced analytics, AI, and Palantir technologies to real-world challenges. The Full Stack Data Engineer position is hands-on and consultative, blending software engineering, data engineering, and problem-solving. You will collaborate closely with clients and internal teams to design, build, and deploy end-to-end solutions. Whether operating as a Junior Full Stack Data Engineer or at Senior Manager level, you’ll play a key role in shaping technical delivery and trusted client relationships. Our client invests heavily in learning, innovation, and career progression, supporting engineers with cutting-edge tools, exposure to high-impact projects, and the backing of a global consultancy network. Flexible working and a collaborative, curiosity-led culture underpin everything they do. Take the opportunity to grow your career as a Full Stack Data Engineer while shaping the future of AI-driven decision-making. You’ll have the opportunity to: • Work alongside industry-leading engineers, data scientists, and consultants., • Deliver AI-enabled, data-driven solutions across public sector, healthcare, finance, and commercial industries., • Design and build end-to-end platforms as a Full Stack Data Engineer using Palantir and modern data technologies., • Apply advanced analytics and machine learning to real-world challenges., • Influence technical direction and best practice across complex programmes., • Mentor and develop junior engineers while contributing to a culture of engineering excellence. Key Responsibilities: • Break down complex client problem sets and design innovative solutions using Palantir technologies., • Build and maintain robust data pipelines and ETL processes., • Develop operational workflows and decision-support tools that transform client operations., • Collaborate with colleagues to implement AI and machine learning models., • Apply strong software engineering principles to deliver scalable, reliable platforms., • Mentor peers and support the development of junior Full Stack Data Engineers., • Build trusted, long-term relationships with clients as a technical advisor. Key Requirements: • Proven experience as a Full Stack Data Engineer or similar engineering role., • Strong skills in Python, SQL, and TypeScript., • Experience with Palantir Foundry, Gotham, or comparable data platforms (preferred)., • Solid understanding of data engineering, ETL pipelines, and workflow orchestration., • Interest in AI, machine learning, and emerging technologies., • Strong communication skills and a collaborative, consulting mindset., • Curiosity, adaptability, and a desire to deliver real-world impact. Why Join: • Join a fast-growing AI consultancy with the backing and scale of a global organisation., • Work on high-impact projects across public sector, finance, healthcare, and commercial industries., • Gain deep exposure to Palantir, AI, and advanced analytics., • Accelerate your career as a Full Stack Data Engineer in a supportive, high-performance environment., • Be part of a culture that values innovation, collaboration, and bold ambition.

AI Engineer or Senior AI Engineer | AI Tech Start-Up | Strong Base Salary DOE + Sizeable Shares | London/Hybrid (2 days a week in office) We are excited to be working with a rapidly growing AI tech scale-up that’s expanding its team with a talented AI Engineer or Senior AI Engineer. The Company This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision-making. Their digital AI agents provide always-on, intelligent insights, empowering top-tier clients across sectors, including asset management, banking, retail, telecoms, supply chain, and utilities to dramatically enhance performance and efficiency. The Role As an AI Engineer or Senior AI Engineer, you’ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises. This isn’t your typical data science position – it’s deeply technical, highly collaborative, and focused on delivering real-world impact. You’ll help translate complex business challenges into intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable AI Engineer or Senior AI Engineer include: • Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred., • Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots, agentic workflows (heavily desired), and more., • Client-Centric Problem Solver – You’re confident engaging with clients and stakeholders, able to translate complex business problems into elegant, scalable AI solutions. You’ve played a hands-on role in architecting and delivering real-world deployments.

hackajob is collaborating with Kainos to connect them with exceptional tech professionals for this role. As a Lead AI Engineer at Kainos, you will deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role will involve hands-on technical delivery, collaborating with customers to translate business challenges into trustworthy AI solutions and ensuring responsible AI practices throughout. As a technical mentor, you will foster a culture of innovation, continuous learning, and engineering excellence. It is a fast-paced environment, so it is important for you to make sound, reasoned decisions. You will do this whilst learning about new technologies and approaches, with talented colleagues that will help you to develop and grow. You will support your colleagues and more junior developers, providing direction support as you solve challenging problems together. Minimum (essential) Requirements • Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection)., • Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc)., • Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker., • Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data., • Understanding of responsible AI principles, model interpretability, and ethical considerations., • Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost)., • Experience with data storage for AI, vector databases, semantic search, and knowledge graphs., • Contributions to open-source AI projects or research publications., • Familiarity with AI security, privacy, and compliance standards e.g. ISO42001.

About the role We are looking for an AI Interaction Engineer to lead the development of expressive, emotionally legible robot interactions. This role sits at the intersection of AI, animation, and robotics and focuses on motion, expression, and behavior generation rather than classical task planning or control. This is a high-impact role with significant technical ownership. You will shape both how interactions are built and what expressive capabilities are possible, translating cutting-edge research into robust, real-world systems. What you’ll work on • Lead the design and implementation of AI-based motion and expression generation for robots, • Define interaction architectures that combine motion, timing, and emotional cues, • Translate animation and virtual human research into systems that respect robotic constraints, • Drive technical exploration and prototyping in expressive interaction and embodied AI, • Partner closely with engineers, designers, roboticists, and product engineers to shape interaction quality, • Evaluate, adapt, and integrate state-of-the-art research into production pipelines, • Help set technical direction and best practices for AI-driven interaction work Required experience • Strong experience working with AI / machine learning systems (research and/or applied), • Deep experience in one or more of the following: Human motion generation, Character animation or character control, Emotion recognition or affective computing, Human pose estimation, Virtual humans or embodied AI, • Strong proficiency in Python and modern ML frameworks (e.g. PyTorch), • Proven ability to translate research ideas into working systems, • Track record of technical ownership and independent problem-solving, • Experience working with robots or physically embodied systems, • Background in computer graphics or animation pipelines, • Publications, patents, or open-source contributions in relevant areas, • Experience mentoring other engineers or influencing technical direction, • Familiarity with real-time or production AI systems Education • Master’s or PhD in AI, Computer Science, Robotics, Computer Graphics, or a related field preferred, However strong candidates with proven skill sets are welcome regardless of educational background Why this role matters Interaction quality is a core differentiator for our product. This role directly shapes how users perceive, understand, and emotionally connect with our robots. As a senior hire, you will have outsized influence on both the technical foundations and the expressive capabilities of the Interaction Team. About Engineered Arts Engineered Arts is the leading manufacturer of full-size humanoid robots used for entertainment, education and communication. With 20 years of hardware and software development, our robots have been sold in over 30 countries worldwide with customers such as NASA, PwC, Meta and many more. Our Ameca robot is well known as ‘the face of AI’ and a social media viral success, taking advantage of the generative AI craze. Along with our ultra-realistic Mesmer range of animated figures our robots continue to surprise and excite visitors at museums, theme parks, visitor attractions and trade shows as well as aid leading universities with AI and robotics research. Our robots are poised to break into the future mega-expansion service robot segment, with applications such as front of house, receptions, check-in desks, information points and PoS. We are also exploring how our humanoid robot technology can disrupt other robotics sectors such as the growing cobot sub-segment of the industrial robotics market. We are a team of dedicated engineers and creatives striving to develop the very best experiences for our customers. Our internal motto is ‘Be Wow’, everything we do is fun, entertaining or surprising to encounter. We always push the boundaries of what is possible in humanoid robotics, researching and developing new systems and techniques to further their appeal. We explore and challenge the human perception of robots as well as the fear and discomfort and the excitement and joy life-like mechanical humanoids present. At Engineered Arts, innovation is at the core of everything we do — and we believe true innovation only happens when diverse minds come together. We are committed to building a workplace where people of all backgrounds, identities, and perspectives feel welcome, supported, and empowered to contribute. Whether you’re an engineer, developer, or creative thinker, we value what makes you unique. We actively promote inclusion across our hiring, design, and development practices, and we’re always looking for new ways to reflect the world around us — in our team, our robots, and our ideas. Because building the future means including everyone in it.” We are committed to equal opportunity in employment and comply with all applicable non-discrimination and equal employment laws in the regions where we operate.

We are seeking a highly skilled and innovative Agentic AI Engineer to join our team and drive the development and deployment of cutting-edge generative AI solutions within the Microsoft ecosystem. This position is well-suited for candidates with a background in software engineering, data science, or machine learning who excel at developing production-grade AI applications utilizing Microsoft platforms such as M365, Copilot Studio, and Azure AI Foundry, and have at least one year of relevant experience. Strong software development background with proficiency in Python. • Experience with API development using FastAPI, Flask, or Django., • Knowledge of Docker and containerized deployments., • Hands-on experience with LLM models such as OpenAI GPTs, Claude, Gemini, LLaMA, or Mistral., • Expertise in applying prompt engineering techniques to improve model performance and reliability., • Experience in implementing robust evaluation frameworks and Responsible AI (RAI) practices., • Familiarity with Microsoft GenAI/Agentic AI ecosystem such as M365, Copilot Studio and Azure AI Foundry., • Strong understanding of software engineering principles and best practices., • Ability to work in agile environments and collaborate with cross-functional teams. You'll stand out if you also meet any of the following: • You are good at prototyping and experimenting with emerging technologies to assess feasibility and impact., • You have knowledge of vector databases, RAG architectures and their integration into enterprise systems, • You have experience with GenAI development frameworks or orchestration tools such as Semantic Kernel, AutoGen, LangGraph, LangChain, or PromptFlow., • You are familiar with core agent communication protocols, including MCP or A2A., • You are a person who loves to stay current with the latest advancements in GenAI, LLMs, and AI frameworks., • You are Microsoft Certified in Azure AI Engineer Associate or Azure AI Fundamentals. 🛠️ Qualifications • Bachelor's in computer science, data science, or a related field About Avanade: Avanade is the leading provider of innovative digital, cloud, and advisory services, industry solutions, and design-led experiences across the Microsoft ecosystem. The company was founded 25 years ago as a joint venture between Accenture and Microsoft. Back then, digital transformation, automation, and AI weren’t mainstream topics—Microsoft was primarily known for Office 365. But Avanade evolved with the times and is now the number one transformation leader within the Microsoft ecosystem. We have a team of 61,000 professionals in 26 countries. We’re a truly global company with a strong local presence— what I like to call “GLOCAL”: making global impacts on a local level.

Machine Learning Engineer (Contract) Duration: 5 weeks (with potential for extension) Status: Outside IR35 Location: Remote (UK-based) Start Date: ASAP About the Role We are seeking an experienced Data & ML Contractor to deliver a proof of concept using static, structured datasets. This is a focused, pragmatic engagement centred on data preparation, feature engineering, and anomaly detection - with an emphasis on clear, interpretable outputs for stakeholders. This is not a heavy Data Engineering or MLOps engagement. There is no requirement for live pipelines, streaming ingestion, or ongoing automated refresh. The successful candidate will work hands-on to profile data, engineer meaningful features, develop detection logic, and communicate findings effectively to non-technical stakeholders. Essential Skills & Experience • Strong Python for data processing and analytics (e.g., pandas, numpy; scikit-learn or equivalent), • Structured data expertise: joins, aggregations, data cleaning, handling missing data/outliers, basic data modelling concepts, • Feature engineering: ability to craft interpretable, business-relevant features, • Anomaly detection experience: practical knowledge of rule-based and statistical methods; ML-based approaches where appropriate, • Requirements & communication: ability to work with stakeholders, define success criteria, and explain outputs clearly Desirable (Nice to Have) • Power BI / BI visualisation (or similar) to support validation and stakeholder-facing outputs, • Familiarity with Azure for accessing datasets or sharing PoC artefacts (basic storage/compute), • Ability to outline what would be needed to scale the PoC toward production later (without implementing full MLOps now) Apply directly or contact

Senior / Staff Machine Learning Engineer - Gaming London – Hybrid Competitive Salary + Benefits About the Role Our client is a global, technology-led organisation operating at the intersection of machine learning, computer vision, and interactive entertainment. They are investing heavily in advanced R&D to transform how quality assurance is done at scale. This role sits within a research-focused engineering team developing cutting-edge anomaly and glitch detection technology used across multiple stages of product development — from early builds through to large-scale testing and certification. The work has real-world impact, improving product quality for millions of end users globally. You’ll operate at Senior / Staff level, shaping technical direction, driving innovation, and contributing to both applied research and production-ready systems. Key Responsibilities • Designing, developing, and deploying novel machine learning models for anomaly and glitch detection, • Leading research workstreams and contributing to publications, patents, and internal knowledge sharing, • Working closely with cross-functional teams to productionise ML systems at scale, • Mentoring and guiding junior engineers and researchers, • Communicating complex technical concepts clearly to both technical and non-technical stakeholders, • Prototyping new ideas quickly to evaluate performance and feasibility Your work will focus on delivering high-impact ML solutions, including: • Anomaly detection applied to video, gameplay, and QA data, • Computer vision and video stream analysis, • Research-led ML systems transitioning into real-world production environments, • Scalable, high-performance ML pipelines What We’re Looking For • Strong academic background (Master’s or PhD preferred, or equivalent experience), • 5+ years’ experience delivering ML solutions from research through to deployment, • Strong Python skills and experience with PyTorch, TensorFlow, or similar frameworks, • Deep understanding of machine learning, data analysis, and statistical modelling, • Experience in anomaly detection, computer vision, or applied ML research, • A track record (or strong interest) in publishing, patents, or conference participation, • Strong communication skills and a collaborative mindset, • An interest in gaming or interactive technology is highly beneficial If this role looks of interest, please apply here!

Senior Software Engineer / Agentic AI and Machine Learning Conquer AI Location: UK based, remote friendly About Us! Conquer AI is a specialist AI consultancy and software engineering firm that helps enterprises reimagine critical processes using AI. We work with FTSE 100, FTSE 250, and Fortune 500 companies across financial services, healthcare, travel, and manufacturing. We operate in the UK, US, and South America. Projects typically involve automating complex, high value workflows using agent based architectures, extraction first pipelines, and a mix of large and small language models. Everything we build has to be accurate, explainable, and able to stand up to scrutiny. The role! Conquer AI is looking for a Senior Software Engineers to join our senior engineering & delivery teams. This role is hands on and technical. You will be designing and building AI powered systems that are already live or heading into production. This is not a research role and not a prompt only role. It is for someone who enjoys building real systems end to end and working closely with clients to solve practical problems. You will be involved from early discovery through to production delivery and iteration. What you will be working on • Designing and building agentic AI systems to automate complex workflows, • Implementing extraction first architectures for accuracy and traceability, • Working with large language models and small language models depending on use case, • Building orchestration layers that combine multiple agents and services, • Integrating AI systems with existing data platforms and document management tools, • Designing systems with human in the loop review, confidence scoring, and auditability, • Shipping production ready software, not prototypes that live in notebooks What we are looking for • Strong experience as a software engineer, ideally at senior level, • Hands on experience with agent based or multi agent AI systems, • Practical experience working with LLMs and SLMs in real applications, • Good understanding of machine learning concepts and trade offs, • Strong backend engineering skills and comfort owning systems end to end, • Experience designing systems that prioritise accuracy, explainability, and robustness, • Comfort working in small teams and taking responsibility for outcomes, • Experience in regulated environments or financial services is useful but not essential. Good engineering judgement matters more. How we work • Small, very senior teams, • Direct collaboration with clients, • Clear problem statements and outcome focused delivery, • No unnecessary process or ceremony, • High trust, high ownership, • Fast paced High Agency environment This role suits someone who wants to do meaningful work, stay close to the engineering, and help shape how AI systems are actually used in practice. What you can expect • Interesting, non trivial problems, • Work that goes into production and gets used, • A team that values clarity and good judgement, • Flexibility and trust, • Competitive compensation based on experience How to apply If this sounds like the kind of work you enjoy, apply via LinkedIn or reach out directly with a short note about your background and what you are looking for next.

Machine Learning Engineer Fully Remote - UK based Up to £90,000 + Benefits About the Role We are working with a fully remote gaming and entertainment business that is scaling its data and machine-learning capabilities. With strong backing for data-driven decision-making, they are now looking for a Machine Learning Engineer to help operationalise, maintain, and optimise their ML systems across the organisation. This position is ideal for someone who is strong technically, resilient, enjoys problem-solving in ambiguous environments, and wants to work closely with both Data Scientists and Engineers. Key Responsibilities • Deploy, productionise, and monitor machine-learning models across the business., • Maintain and improve ML infrastructure to ensure high reliability, scalability, and runtime performance., • Collaborate with data scientists to ensure smooth model handover from prototype to production., • Work alongside data engineers, supporting but not owning data-engineering pipelines., • Build tooling, automation, and monitoring systems to support long-term ML lifecycle management., • Ensuring live models perform consistently in a high-volume environment., • Streamlining the deployment process and improving ML observability., • Supporting automated decision systems across game-economy and player-behaviour use cases. What We’re Looking For • Experience deploying, monitoring, and maintaining ML systems in production environments., • Strong understanding of cloud platforms (GCP preferred) and containerisation/orchestration tools., • Solid coding ability, with experience building reliable and scalable infrastructure., • Excellent problem-solving skills and comfort operating within a fast-moving environment., • No strict requirements on years of experience or academic background If this looks of interest, please apply below.

SC Cleared / SC Clearable Machine Learning Engineers – Contract I’m currently supporting a UK-based organisation delivering advanced technical solutions into highly regulated environments across government, defence and national infrastructure. We’re looking to speak with Machine Learning Engineers interested in contract opportunities (£500–£650 per day). This role is focused on traditional Machine Learning, with a strong emphasis on Computer Vision — not GenAI / LLM work. What we’re looking for: • 3+ years’ commercial experience in Machine Learning, • Strong experience in Computer Vision (e.g. object detection, image classification, segmentation), • Experience building, training and optimising ML models, • Python (NumPy, Pandas, scikit-learn) and frameworks such as TensorFlow or PyTorch, • Experience deploying models into production environments (cloud platforms, Docker, CI/CD pipelines) Clearance requirements: • Active SC Clearance, or, • SC Clearable (must have resided in the UK continuously for the last 5 years) These roles offer the opportunity to work on impactful, real-world projects where robust ML solutions are critical. If you’re exploring new contract opportunities and meet the above criteria, please apply or drop me a direct message.

Senior AI/ML Engineer Fully Remote £100,000–£120,000 + benefits About the Role Our client, a blockchain analytics scale-up, is looking for a Senior AI/ML Engineer to join their expanding team. They’re scaling their AI capabilities and need someone passionate about applying cutting-edge machine learning and LLM techniques to real-world crypto data. You’ll work directly with a Staff AI/ML Engineer who has built advanced ML teams in the past, driving projects that power their platform - used by investors to discover opportunities, perform due diligence, and defend portfolios. Key Responsibilities • Designing, implementing, and maintaining AI/ML models to analyse blockchain data at scale., • Translating complex datasets into insights that inform investment and trading strategies., • Working with product teams to build AI-powered features directly into the core platform., • Staying on top of developments in AI, ML, and blockchain - and experimenting with new techniques., • Automated wallet and address labelling through AI and NLP., • NFT and asset price estimation models., • Advanced analytics to detect patterns and behaviours across blockchain data., • Integrating LLM-based capabilities into customer-facing products. What We’re Looking For • 3–6 years of experience in Data Science or ML Engineering., • Strong Python skills and hands-on experience building end-to-end ML solutions., • Interest in blockchain, crypto, or fintech (commercial crypto experience a plus)., • Experience with GCP or similar cloud environments., • Familiarity with modern LLMs or AI APIs., • Someone who experiments in their spare time, reads papers, and keeps up with the latest in AI., • Collaborative and proactive, with the ability to thrive in a remote, fast-paced environment. Interview Process • Culture fit interview., • Technical discussion with the AI Lead., • Technical test (general DS/ML best practices)., • Final panel interview.

They're now looking to add a Senior MLOps & Platform Engineer to take ownership of the infrastructure and platform layer that supports their machine learning workloads. Senior MLOps & Platform Engineer. Senior MLOps & Platform Engineer.

Our client is a pioneering technology company delivering laser communications and temporospatial software-defined networking platforms to the aerospace and space industry. Youll work at the cutting edge of AI-driven networking and space systems, collaborating with engineers, researchers, and custome

Machine Learning Operations Engineer. Design and develop machine learning operational processes across diverse client environments.

We are seeking an experienced Machine Learning Engineer to support the design and build, production ready ML models on Google Cloud Platform (GCP). Design, build, and productionise machine learning models using GCP-native services. Contract Machine Learning Engineer (LLM & GC).

Theyre now hiring a Machine Learning Engineerto help build intelligent, production-grade ML systems at the core of their platform. Build and deploy machine learning models into production. Machine Learning Engineer or similar role.

This role suits an experienced Applied Machine Learning Engineer or Data Scientist comfortable working with messy real-world data, operational constraints, and production systems. Develop predictive models using time-series and geospatial datasets. Engineer features from large-scale operational data

Kafka/Flink streaming pipelines.Real time micro batches implementation (5 minutes, hourly, daily).Mongo/Atlas as alternative implementation (we might land with S3 instead).SageMakerMLOps / SageMaker Training / SM Model Deployment.

Backend Software Engineer / Developer (Go / Golang AWS) London to £80k.Are you a data savvy, backend focussed Software Engineer who enjoys using a range of programming languages with exposure across the full tech stack?.You could be progressing your career working on bleeding edge, Machine Learning

Machine Learning Operations Engineer. Design and develop machine learning operational processes across diverse client environments.

AI Engineer / Machine Learning Engineer. Job Title: AI Engineer / Machine Learning Engineer. This is a high-impact role working on real client projects across generative AI, machine learning and cloud-based solutions.

Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications. Mentor junior colleagues and share learnings across the team.

As a Machine Learning Engineer, you'll help maintain the stability and performance of core data and ML systems across Europe. Proven background as a Machine Learning Engineer. Machine Learning/Data Engineer.

AI Engineer Programme Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Youll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The Outcome Entry-level AI Engineer roles across multi

AI Engineer Programme Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. The Outcome Entry-level AI Engineer roles across multiple industries. Youll learn Python programming, machine learning fundamentals, data handling, and applie