1 to 25 of 400 Permanent Machine Learning Jobs in Slough

Job Title: Low-Level C++ Engineer (GPU & ML Optimization) Location: London, UK About the Client: We are partnering with an exciting, disruptive technology company at the forefront of machine learning (ML) and high-performance GPU computing. This innovative firm is leveraging cutting-edge GPU technology to optimize machine … learning algorithms and computational models, powering the next wave of AI and data-driven applications. Their mission is to drive performance optimization in ML and AI workloads, transforming industries such as autonomous vehicles, healthcare, and immersive gaming experiences. This is a fantastic opportunity for someone passionate about low-level … systems programming and ML optimization to be part of a team that is reshaping the future of technology. The Role: We are seeking a Low-Level C++ Engineer to join their team and work directly on optimizing GPU performance for machine learning (ML) workloads. As part of the More ❯

Data Scientist/Machine Learning Engineer/AI Engineer - Java, Python, scikit-learn, TensorFlow, PyTorch AWS, Machine Learning, Artificial intelligence (Hybrid - 3 days in the office -mon, weds, Friday) Data Scientist/Machine Learning Engineer:- You will be joining a fast-growing, research-driven … company building an artificial intelligence using novel machine learning techniques. My client is revolutionising their industry with a track record of building things that others have ruled out as impossible. The Data Scientist will join a very bright, talented team of engineers with the guidance of technologists who … Science/Machine Learning role Solid experience of Python and some Java (Could be from University projects) A strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Familiarity with cloud platforms (AWS) and Kubernetes for deploying A degree in Computer Science, Engineering, or a More ❯

Machine Learning Researcher A fully automated algorithmic trading company in London have ambitious plans to grow their machine learning research team. All their researchers have an impressive academic background in mathematics, statistics, and physics and have published … numerous academic articles in their respective fields. They enjoy a healthy work-life balance while tackling hard problems in quantitative finance using AI and ML techniques. As a Machine Learning Researcher, you will work with a fantastic team of data scientists and engineers on a wide scope of … ML responsibilities to tackle hard problems in quantitative finance: Build machine learning trading strategies across a range of asset classes Design predictive models with scientific rigor Explore new projects in neural networks and deep learning Oversee projects focused on finding trading product solutions Requirements for the Machine More ❯

Machine Learning Researcher/Deep Learning/World Leader Machine Learning Researcher required in London or Cambridge area to join a world leading organisation with a highly reputable Machine Learning/Deep Learning team. You will have come from an exceptional academic … background and be well published in Machine Learning and Deep Learning research looking to work on the forefront of what is possible in AI/Machine Learning Research. Any exposure in Reinforcement Learning , LLM's are all beneficial as well as any exposure to … and semiconductors market. What's most important is someone with a real mind and determination for achieving something that's never been done before. Machine Learning Researcher/Deep Learning/World Leader More ❯

the development of a greenfield compliance platform focused on anti-money laundering (AML) and counter-terrorist financing (CTF). You’ll help design scalable ML infrastructure, build real-time monitoring systems, and explore the latest advancements in AI. Your Responsibilities: Contribute to a New ML-Driven Platform : Build advanced AML …/CTF transaction monitoring modules using both traditional statistical methods and modern ML techniques. Develop and deploy machine learning monitors using tools such as TensorFlow, OpenAI APIs, LangChain, Pytest, gRPC, and Python. Assist in implementing generative AI summarisation pipelines and agent communication protocols within a multi-agent system. … Drive Deployment and ML Operations: Collaborate with DevOps to containerise and deploy monitors with automated testing and evaluation tools. Support ML Ops development to track model health, detect drift/skew, and ensure model reliability in production. Focus on Scalability and Clean Code: Write clear, well-documented, and reusable code More ❯

are a VC-backed startup focused on behavioural AI, currently in stealth. We are building for retail with a focus on Recommendation Systems, Reinforcement Learning and GenAI. We are looking for a Senior Research Engineer with experience in advanced machine learning systems to work with our team … is to bring the intelligence of modern machine learning directly to the in-store shopping experience. Key Responsibilities: Solution development : Translate latest ML advances into impactful solutions and products, from MVPs to fully deployed systems. Novel Applied Research : Innovate upon state-of-the-art ML research applied to … consumer personalisation. Performance optimisation : Optimise machine learning models for performance in modern environments (e.g., distributed clusters, GPUs). Essential Qualifications: Hands on experience: 3-5+ years implementing applied machine learning research in commercial context. Education: MSc in Computer Science, Machine Learning, or a More ❯

projects, as evidenced by widely used open-source libraries, major product launches, or impactful publications (e.g., NeurIPS, ICML, ICLR, or Nature). Skilled in ML development: They write robust, maintainable ML code, have proficiency in version control and code review systems, and are capable of producing high-quality prototypes and … They have experience running models on cloud hardware and parallelizing data and models across accelerators. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep learning models, including raw data analysis, dataset management, and scalable pipeline construction. Passion for optimization: They possess … in-depth knowledge of ML libraries, hardware interactions, and optimization techniques for model training, inference speed, and validation metrics performance. Mission-driven and curious: Motivated by the opportunity to make a positive global impact, they approach problems with relentless curiosity and adaptability. Adaptability in dynamic environments: They thrive in fast More ❯

are a VC-backed startup focused on behavioural AI, currently in stealth. We are building for retail with a focus on Recommendation Systems, Reinforcement Learning and GenAI. We are seeking a Senior Data Scientist with recent, hands-on experience in developing and deploying advanced machine learning models … ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. Key Responsibilities: Algorithm Development & Implementation : Design and implement scalable machine learning for complex … data analysis, optimised recommendations, and predictive modelling. Applied Research : Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed, production-ready systems. Performance Optimisation : Bring your models to production and optimise for inference in edge computing environments. Essential Qualifications: Education More ❯

Machine Learning Full Stack Contractor to help accelerate the next phase of development. If you're excited by the idea of applying ML in complex, real-world scenarios—and enjoy moving fast in a highly autonomous environment—this could be a strong fit. What You’ll Be Doing … pd | Outside IR35: Designing and training new models from scratch for unique, real-world use cases Taking a hands-on, theoretical approach to ML—beyond just implementation Building and scaling backend infrastructure and APIs (Python, GCP, etc.) Working closely with the CEO and founding engineers to iterate rapidly on product … Helping drive the integration of ML into a Flutter-based product environment Core Skills for the Machine Learning Full Stack Engineer Contractor (Python/Flutter/GCP) | Fully Remote/EU-Based | Rate £600-750pd | Outside IR35: Strong theoretical grounding in ML, with proven experience training models More ❯

Engineer in a Fast-Growing Fintech Startup A pioneering FinTech start-up focused on transforming financial services through innovative technology is seeking a talented Machine Learning Data Engineer to join their agile team. This role is perfectly suited for a software engineer with solid data science experience who … moved their focus into data engineering and machine learning, and eager to make meaningful contributions to complex financial processes. What You Will Do: - Partner with tax and accounting specialists to understand financial workflows and develop data-centric solutions - Build, train, and deploy scalable machine learning models … customer data, delivering actionable insights for pricing strategies - Assess model performance and refine for optimal accuracy and efficiency - Work with engineering teams to embed machine learning solutions into production systems - Explore datasets to detect patterns, trends, and opportunities for operational improvements - Stay updated with advancements in machine More ❯

insights; helping our clients reduce clinical development risk and improve return on investment from their clinical development programmes. We achieve this by combining Ai machine learning imaging biomarker analysis, together with centralised neuroimaging CRO services to provide an integrated service covering every stage of clinical development through to … Agility and Accountability. To help us deliver our medical image analysis solutions to large clinical trials we are hiring a Imaging Scientist (R&D ML specialist) on a permanent full-time capacity. Purpose of the Role: The purpose of this role is the development of imaging analysis solutions to address … sexual orientation, marital status, disability or any other protected class. This is a great opportunity for a strong and experienced Imaging Scientist (R&D ML specialist) to thrive in an engaging and fast-paced environment, to make a difference on an everyday basis. If you think IXICO should meet you More ❯

Senior Machine Learning Engineer - Sports Tech Powerhouse (London - Hybrid) Senior Machine Learning Enginee r needed for one of the fastest-growing tech companies in the UK, transforming the future of sports. You'll be a strong Machine Learning Engineer with years of hands on … field that you are passionate about. Requirements: Strong Python skills - experience with writing production quality code 3+ years of professional experience building and designing Machine Learning models and algorithms Leadership experience - providing guidance and mentoring junior engineers Bonus points if you: Have professional experience working in sports, health … or with wearables Someone who enjoys staying active/into fitness - you'll feel right at home Senior Machine Learning Engineer - Sports Tech Powerhouse (London - Hybrid More ❯

by a top-tier VC to hire a Director of Machine Learning . This is a hands-on leadership role, guiding the ML function across an innovative platform. For this role, we are also open to people who don’t necessarily come from a director level background but … may have been working in a management, tech lead or senior level role. You’ll own the ML strategy and roadmap, lead a talented team of applied ML engineers, and drive delivery across areas such as generative AI, geospatial analysis, computer vision, and hybrid physical-ML models. This is a … chance to tackle real-world problems with high impact, blending deep tech with urgent purpose. Key Responsibilities Define and evolve the company’s AI & ML strategy and technical roadmap Lead and scale a team of ML Engineers, providing coaching, mentorship, and technical direction Take ownership of ML model development across More ❯

Research Scientist | Reinforcement Learning | Python | Machine Learning | Deep Learning | Hybrid, London Overview Today’s internet is misaligned with its users – at best one-size-fits-all and static, and at worst adversarial. We’re building AI-powered tools to create new digital experiences that are fundamentally … s goals, needs, and values. In this new human-aligned internet, generative user interfaces will augment our capacity for discovery, understanding, and expression by learning from and responding to users in real time. We’re powering these experiences with our bespoke foundation model, enabling intelligent, highly personalized user experiences … autonomous • Collaborative with a team-player mindset And ideally: • Worked with large-scale deep learning systems in production • Published extensively in top-tier ML conferences • Experience in and appetite for working in small, rapidly growing teams or companies We offer enormous opportunities to define and own your lane, competitive More ❯

Learning Engineer London (Hybrid) Up to £65,000 Greenfield work One of La Fosse’s best clients are currently seeking a talented ML Engineer for their greenfield AI team. Join a cutting-edge innovation department within a fast-paced financial environment, helping to shape the next generation of … to join a small & agile development team focused on building out a greenfield AI-powered transaction monitoring platform. You'll work on everything from ML model development and GenAI summarisation pipelines to MLOps and multi-agent systems—with real-world impact on financial security and compliance. What You’ll Do … like TensorFlow, OpenAI, and LangChain. Help design GenAI pipelines and consensus mechanisms across a distributed agent system. Work alongside DevOps to build scalable, automated ML deployment pipelines. Write clean, well-documented code using Python and modern tooling (gRPC, Alembic, Pytest, etc.). Requirements: 1–3 years of experience in ML More ❯

infrastructure within AWS Develop and manage CI/CD pipelines for machine learning training and deployment Implement robust data pipelines to support ML workflows from ingestion through to production Monitor and manage performance, cost, and security across ML systems Collaborate with data scientists, ML researchers, clinicians, and engineers … Functions Airform Terraform, ECS Python (core language), Bash, (GO is advantageous but not strictly necessary) Required experience: Strong hands-on experience in MLOps or ML infrastructure roles Deep familiarity with AWS services relevant to machine learning Proven experience deploying models into production (ideally using SageMaker) Working knowledge of … infrastructure-as-code, ideally using Terraform Strong understanding of CI/CD, automation, and monitoring within ML environments Ability to work cross-functionally and communicate effectively with both technical and non-technical stakeholders Nice to have: Experience in highly=regulated environments such as healthcare or finance Familiarity with data privacy More ❯

Principal Machine Learning Engineer Paying between £100,000-£140,000 Hybrid in Central London La Fosse is partnered with a leading insurance company who are looking for an experienced Principal Machine Learning Engineer to drive their AI innovation at scale. They are looking for someone to lead a dynamic team in designing and deploying AI, ML, NLP, and Generative AI solutions that will shape business models and deliver tangible impact on profitability, sales, customer experience, and operational efficiency. What You’ll … business impact. Deep expertise in Generative AI, Large Language Models, NLP, and deep learning. Strong problem-solving skills, adaptability, and excellent communication. Experience leading ML Engineers and Data Scientists in building AI models. Familiarity with the Property & Casualty (P&C) insurance industry is a plus. Relevant experience in the insurance More ❯

to deployment within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability … end data science projects across varied data types. Familiarity with DevOps practices and tools like Git. Cloud experience (e.g. Azure, AWS) and working with ML platforms and services. Strong communication skills, capable of explaining complex topics to non-technical stakeholders. Ability to align data science efforts with broader business objectives. … learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working More ❯

events globally, developing new experiences and insights that power the future of sports. In this role, you will: Deliver at scale: Build and deploy ML models across cloud and edge platforms, scaling to thousands of simultaneous matches. Lead impactful projects: Own and drive initiatives that directly enhance the experience for … Python and/or C++, plus proficiency with Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, and AWS. Product-minded approach: Demonstrated success delivering AI/ML products in collaboration with cross-functional product teams. Scalable systems expertise: Solid track record building and managing AI/ML systems in production environments at … scale. Nice to Have: Sports tech experience: Background applying AI/ML in the sports domain for data generation or insights. Systems optimisation: Knowledge of GPU kernel development (CUDA, OpenCL, etc.), real-time system optimisation (e.g., Nvidia NSight), or experience working with embedded SoCs (Nvidia, Qualcomm, etc.). If you More ❯

to push the boundaries of advanced modelling — from algorithmic trading to factor modelling and other cutting-edge applications. Quant firms have leveraged AI and ML for years, but the increasing complexity and scale of global markets demand a more comprehensive, integrated approach. At AGITProp, we harness the latest insights from … from across tech and finance to help us achieve our aim. Senior AI Engineer We seek an exceptional Senior AI Engineer with a strong machine learning and AI background to join our team. In addition to exceptional programming skills and knowledge of data structures and algorithms, the ideal … candidate should also be proficient in the mathematical underpinnings of deep learning and deeply understand modern AI techniques. As a Senior AI Engineer, you will be responsible for designing, developing, and implementing cutting-edge AI models. Responsibilities Work closely with the research team to design, develop, implement, and train More ❯

Role We are now looking for an AI Solutions Engineer to build and deliver innovative AI products to our customers. Your software expertise and machine learning knowledge will help transform our customers' manual processes into AI automated solutions. Your mission will be to ensure our customers receive the … challenges and collaborate with them to leverage our AI in the automation of their work. Initially, you will provide hands-on support for our machine learning models as they come to market but then will gradually develop self-service tools that empower customers to achieve value independently. As … development platform that scales with our product strategy. Ensure our AI services maintain high standards of reliability, observability, availability, and performance. Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future. Take ownership of customer More ❯

excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. 🌎 Location and Legalities This full-time Machine Learning Engineer position is based onsite in our brand-new Ultralytics office 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 Machine Learning Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class Ultralytics YOLO models. You will work on the entire lifecycle of our models, from research … of our models and supporting Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of professional experience in Machine Learning Engineering or a similar role. Deep expertise in Python and deep learning frameworks, with a strong preference for PyTorch. Proven experience More ❯

Machine Learning Researcher/Data Scientist | FinTech We are searching for an Machine Learning Researcher/Data Scientist to join a Series A startup on a mission to modernise outdated financial infra! They're using cutting-edge tech to build smarter, faster systems that rethink how … building powerful, AI-driven solutions using open-source LLMs , replacing outdated systems with sleek, scalable tech within Asset Management. They’re now hiring an Machine Learning Engineer with a strong Python background and hands-on experience with LLMs , Langchain , and full-stack product development. You’ll be: Designing More ❯

design and development to testing, deployment, and ongoing support. You will work across the full machine learning workflow, applying advanced analytics and ML techniques to extract structured insights from complex insurance submission documents, conduct exposure analytics, and model asset behaviour for the commercial insurance market. Responsibilities Design, build …/CD, and MLOps Share expertise through peer code reviews, documentation, and collaborative learning initiatives Stay current with emerging trends in AI/ML, particularly in areas such as LLMs, NLP, and intelligent document automation What skills and experience will I need to bring with me? You’ll need … a passion and willingness for learning. Here’s what the teams will be looking for: 3–5 years of professional experience in data science ML, or applied AI role Strong problem-solving and analytical skills with the ability to approach complex technical challenges independently Proven experience in building, deploying, and More ❯

AI system that seamlessly integrates into clients' systems, automating compliance and portfolio risk analysis processes Job Summary: We are seeking a talented AI/ML Engineer with 3-5 years of experience to join our innovative team. You will play a key role in designing, developing, and deploying machine … learning models and AI algorithms using Python, TensorFlow, PyTorch, or other relevant frameworks. Collaborate with cross-functional teams to integrate AI/ML solutions into our SaaS platform. Work on data preprocessing, feature engineering, and model optimization to ensure high accuracy and performance. Evaluate and fine-tune models … performance. Integrate machine learning models into production systems and ensure scalability and reliability. Research and implement state-of-the-art AI/ML techniques, including natural language processing (NLP), time-series analysis, and reinforcement learning. Ensure scalability, reliability, and security of AI/ML solutions in a cloud More ❯