1 to 25 of 297 Permanent Machine Learning Jobs in Berkshire

Machine Learning Engineer | Generative AI | AWS | End-to-End ML Solutions Location: London-based | Hybrid Please note: Sponsorship is not offered for this position We’re working with a leading organisation on a mission to become one of the most insight-driven businesses in its sector, placing machine learning and generative AI at the core of … customer experiences, operational optimisation, and strategic decision-making. This is a fantastic opportunity for a skilled Machine Learning Engineer to build and deploy scalable, production-level ML solutions, working closely with Data Scientists and cross-functional teams to drive measurable business impact. You’ll play a pivotal role in integrating machine learning models into end-to … ll also contribute to shaping the frameworks, infrastructure, and shared tooling that enable safe, responsible, and efficient AI experimentation and deployment. If you’re passionate about problem-solving, applying ML to real-world challenges, and bringing ideas to life in production environments, this role is a great fit. What You’ll Be Doing Machine Learning Engineering Build, deploy More ❯

looking for Machine Learning Specialists, and we’re hoping it’s you! In this role, you’ll play a leading role in helping both customers with their ML validation challenges and in helping drive our product forward with insights on how to build the best validation solutions for high-stakes machine vision problems. The specific focus of … this position is on ML-based computer vision in high-stakes applications in Aviation, Mobility, Robotics and Edge Devices, with particular emphasis on object detection and tracking. The role has customer & user-facing elements working on real world problems to help ML teams (R&D and Product within other organizations) improve the quality of their models, but also requires deep … foundational knowledge on ML-based computer vision. In addition you will also work closely with the Safe Intelligence R&D team to help improve the company’s tools based on the challenges you see in your domains of expertise. This can range from inputs to product to working on the product itself. Previous contributions to state-of-the-art machine More ❯

models and AI systems. Collaborate extensively with scientific and operational teams to guarantee the robustness, scalability, and reliability of our AI tools. Implementing automation and standardization throughout the ML lifecycle, your efforts will support quicker, data-informed decision-making and boost innovation. Help our CDMO's mission by turning research insights into practical solutions efficiently. Key responsibilities: Compose, construct … successful deployment of machine learning and large language models (LLMs) in practical operational settings, transforming research findings into functional business tools. Facilitate the progress and examination of ML models, involving both standard machine learning and neural network-focused models, as requested by R&D teams. Develop standardized, reusable workflows that can be applied across different projects … on. Key requirements: MSc or BSc in Computer Science, Data Science, Bioinformatics, Engineering, or a related field, or equivalent experience. Proven experience designing and deploying MLOps pipelines (MLflow, Azure ML, Azure DevOps etc). Strong programming skills in Python and familiarity with common ML/AI libraries (scikit-learn, tensorflow, Keras etc.). Experience implementing machine learning and More ❯

thinking team where cutting-edge technology meets genuine purpose. The Role: I’m seeking a Lead Machine Learning Engineer to drive the design, deployment, and scaling of ML solutions across our global data ecosystem. You’ll be the technical lead for machine learning and AI engineering — building production-ready systems, enabling seamless collaboration with data scientists … direction of machine learning engineering and deployment, ensuring models are robust, scalable, and high performing. Work hand-in-hand with data scientists to design, prototype, and operationalize ML and AI models that deliver real business value. Develop and maintain a comprehensive MLOps framework — from versioning and CI/CD to monitoring and governance. Provide technical guidance and mentorship … helping grow a capable ML Engineering team over time. Partner with product, platform, and analytics teams to embed ML into data products and digital services. Stay current with advancements in Generative AI and LLMs, exploring opportunities to apply them within the pet care and nutrition space. What We’re Looking For Strong communicator who can translate technical complexity into business More ❯

learning solutions, aligned to operational goals and governance standards. Prepare and transform data for modelling using Python and Azure-native tools, ensuring quality and consistency across the ML and AI lifecycles. Evaluate, and deploy models using AutoML, MLflow, and custom pipelines, with a focus on performance, scalability, and maintainability. Monitor model performance, detect drift, and implement retraining strategies … to maintain relevance and accuracy. Apply responsible AI principles including fairness, explainability, and privacy to support ethical and transparent model development. Collaborate with cross-functional teams to integrate ML and AI solutions into business processes, improving engagement, productivity, and decision-making. Support our clients maintain and optimise Azure ML environments to deliver reproducible experimentation and efficient deployment. Person, Skills & Experience … Certified in DP-100 Azure Data Scientist Associate (mandatory). Confident working independently or collaboratively to support solution design, delivery, and governance across the ML and AI lifecycle. Experienced in designing, training, registering, and deploying models using Azure Machine Learning (AML), AutoML, and MLflow. Proficient in Python, pandas, and scikit-learn for data science and feature engineering, with More ❯

world challenges. In this role, you’ll: 🧠 Design, train, and evaluate machine learning and deep learning models for production environments 🛠 Develop and optimise end-to-end ML pipelines — from data preparation to model deployment 📊 Experiment with advanced generative and predictive models , including diffusion, autoregressive, and transformer-based architectures 🤝 Collaborate with data engineers and software developers to integrate … team that values experimentation and creative problem-solving 🏢 Hybrid Flexibility – Balance remote focus time with in-person collaboration at our London office 🌱 Learning Pathway – Gain exposure to advanced ML frameworks and progress toward senior engineering roles as you grow What We’re Looking For: 🎓 A degree in Artificial Intelligence, Computer Science, Mathematics, or a related field 🐍 Proficiency in Python … and innovation Nice to Have: 💾 Experience with JAX , Hydra , or Weights & Biases 📊 Exposure to GANs , diffusion models , or autoregressive architectures 📚 Knowledge of data privacy , machine unlearning , or secure ML methods 💻 Internship or academic project experience in AI research , data science , or software development If you’re ready to take your first step into applied machine learning and More ❯

learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production-ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and … validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data, and product teams to integrate ML solutions into production environments. Stay current with emerging trends in AI/ML technologies and contribute to innovation within the organisation. Required Skills & Experience Proven experience (3–5+ years) as a Machine Learning Engineer … lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or More ❯

Engineer, you’ll be part of cross-functional delivery teams working on technically complex, high-impact AI projects. You’ll play a central role in designing and building the ML architecture (from infrastructure and deployment to tooling and automation) to ensure that solutions are not only technically sound, but also scalable, maintainable, and secure. This is a hands-on role … environments. Key Responsibilities Lead the design and build of production-ready machine learning pipelines and systems Develop infrastructure and tooling to enable deployment, monitoring, and retraining of ML models Work across the full AI delivery lifecycle, from architecture and integration to performance optimisation Collaborate with customers and stakeholders to understand operational constraints and align on solution design Mentor … continuous improvement of delivery practices, internal tooling, and knowledge sharing across teams What We’re Looking For Strong software engineering skills, especially in Python. Experience building robust systems for ML applications Proven track record deploying machine learning models in production (using frameworks such as Scikit-learn, TensorFlow, or PyTorch) Practical experience working with cloud infrastructure (e.g., AWS, Azure More ❯

customers get maximum value out of our solutions. The ideal candidate for this role will get stuck in across the organisation, moving naturally from intricate data analysis, through detailed ML considerations and onto the broader business context. You will have the freedom to propose, research and implement innovative new ideas to improve our system. If you want to apply cutting … have immediate business impact, we’d love to hear from you. Your responsibilities Innovate on Solvo’s modelling and decision making solution. Create value for customers through application of ML principles and best practice. Strive for high quality and robust outcomes. Continuously ensure we are using the most appropriate ML modelling techniques for customer projects and our product offerings. Design … scalability and performance. Collaborate closely with scientists and engineers in an agile team environment. Facilitate understanding of our AI solutions internally and externally. Continuously develop your own AI/ML and engineering skills. Essential skills and experience Academic or industrial research experience in machine learning, especially probabilistic models and Bayesian statistics. Proficiency in designing and programming advanced ML More ❯

We are partnering with an early-stage, mission-driven company at the intersection of AI and national defence to appoint exceptional Machine Learning Engineers . This fast-growing organisation is transforming mission-critical combat planning and operational decision-making by building next-generation AI software tools for Western forces. Founded in 2023, the company has already secured significant … leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid) : London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate about using AI technology to solve complex, real … the product team, to identify and capitalise on high-impact opportunities Keep the company at the forefront of innovation by exploring and applying the latest research Requirements: MSc in Machine Learning, Computer Science, or a related field 5+ years of experience in machine learning, with an expertise in modelling, prototyping, and evaluation Strong software engineering skills More ❯

quantitative research firm that continues 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 foundation and large language models … the best and brightest minds 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 very large AI models. Build and maintain efficient, scalable, and reliable AI infrastructure, tools, and More ❯

About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it … s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world … B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university More ❯

Senior Machine Learning Engineer £100,000 - £120,000 - London | Hybrid (2/3 days onsite). I've partnered with a fast-growing technology company applying advanced AI to tough, real-world data problems. Their systems power automation and smarter decision-making in complex operational settings solutions, helping improve operational efficiency and reliability across … energy firms worldwide. With strong R&D backing and a really high-calibre technical team, this is a rewarding pportunity to join a cutting-edge product group applying modern ML with tangeable environmental impact. As a Machine Learning Engineer, you will: Build and deploy ML models that drive decision-making and automation in complex physical systems Develop advanced … forecasting and modelling approaches for challenging datasets Productionise research-grade ML using modern MLOps tooling Influence architecture and best practices across a growing technical team Given the number of candidates applying, unfortunately I won't be able to speak to candidates without: 5+ years’ experience in machine learning engineering (some research is fine but this should be coupled More ❯

quality, more intelligent ad-funded internet. They’re now hiring their first ever Applied Machine Learning Engineer — someone curious, hands-on, and ready to own all things ML from day one. What you’ll be doing: Building and deploying applied ML systems that make the product smarter and more defensible Developing contextual categorisation of web content Prototyping algorithms … retrieval-augmented generation (RAG) Working cross-functionally with engineers, product and commercial teams to bring ideas to life What they’re looking for: 1–3 years’ experience in applied ML/AI (or equivalent projects) Strong Python skills with PyTorch, Hugging Face or scikit-learn Experience experimenting with LLMs (fine-tuning, embeddings, prompt chaining etc.) A passion for turning messy … real-world data into something powerful and production-ready Excitement about being the first ML hire in a scaling start-up environment Why you’ll love it: Real ownership from day one — build, shape and scale the ML function Hybrid setup (London-based, flexible culture) 33 days holiday + Christmas shutdown Private medical, pension, socials, offsites & more If you’re More ❯

Machine Learning Engineer | London (Hybrid) | £70,000 - £80,000 We are looking for a Machine Learning Engineer to join our London-based client, to deliver end-to-end solutions on exciting new projects which have come about due to growth. You’ll be designing, building and deploying machine learning models which solve … complex business challenges, working closely with cross-functional teams at all stages, to turn insights into impactful products. In this role you will Work end-to-end on new ML models from development through to training and optimising Work closely with a small team of data scientists, engineers and product managers Implement scalable data pipelines and deployment strategies for new … models Continuously improve solutions and conduct performance evaluations of models What we’re looking for 3+ years of industry or research experience Python and SQL proficiency, with experience using ML frameworks e.g PyTorch Experience with Azure cloud Driven to progress within a growing SME What our client are offering £70,000 - £80,000 salary DOE Flexible working arrangements with More ❯

Manage multiple projects from inception 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 to solve complex, real-world … Experience managing multiple end-to-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. Desirable Skills: Experience using R … and NLP or deep 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 knowledge of Excel, SQL, Power BI More ❯

Team: Machine Learning Location: London (On-site; Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £120 - 160k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We … from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In this role, you will: Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference. Work closely with clients to understand data and model architecture requirements for their business needs. Be … that is perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: Publications: At top-tier ML/CV/NLP conferences (NeurIPS, ICML, ICLR, CVPR, ICCV) Open-source: Contributions to and experience in open-source projects. Startup experience: Experience with a startup work environment and wider More ❯

Team: Machine Learning Location: London (On-site; Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £70 - 90k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We … from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In this role, you will: Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference. Work closely with clients to understand data and model architecture requirements for their business needs. Be … that is perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: Publications: At top-tier ML/CV/NLP conferences (NeurIPS, ICML, ICLR, CVPR, ICCV) Open-source: Contributions to and experience in open-source projects. Startup experience: Experience with a startup work environment and wider More ❯

Team: Machine Learning Location: London (On-site; Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £90 - 120k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We … from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In this role, you will: Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference. Work closely with clients to understand data and model architecture requirements for their business needs. Be … that is perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: Publications: At top-tier ML/CV/NLP conferences (NeurIPS, ICML, ICLR, CVPR, ICCV) Open-source: Contributions to and experience in open-source projects. Startup experience: Experience with a startup work environment and wider More ❯

Learning Engineer to push the boundaries of how data and models are used in systematic investing. This isn’t a research support role — it’s about building the ML infrastructure that directly drives trading strategies and PnL. The Opportunity Work with world-class researchers and portfolio managers where every model you build has real market impact . Take ownership … of the full lifecycle: from messy, high-frequency datasets → feature engineering, training and deployment, live inference. Shape the firm’s ML ecosystem, choosing the right tools and frameworks to deliver performance at scale. Tackle challenges you won’t find outside finance: billions of data points, low-latency requirements, and models that need to work in the wild, not just in … What We’re Looking For Strong hands-on experience with machine learning engineering at scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade pipelines (Spark, Ray, Kafka, Dask, Kubernetes, cloud). Ability to handle large, noisy datasets — financial or otherwise — and turn More ❯

faster. Key Responsibilities Collaborate with data and subject matter experts and customer teams to seek, understand, validate, interpret, and correctly use data and business insights Train, validate and deploy machine learning pipelines Test, troubleshoot, and enhance customer software applications with and on behalf of customers Identify application performance bottlenecks and implement optimizations Write application specifications, tutorials and documentation … we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace. Work Experience Qualification Musts: Experience in data science methods, including statistical analysis , machine learning , and data visualization . Experience identifying and resolving operational or data-related issues using documented procedures and prior case studies. Experience making small-scale system and process … improvements to enhance functionality and efficiency. Qualifications Preferred: Applied Machine Learning experience (regression, classification, supervised, and unsupervised learning ) with a strong mathematical foundation in linear algebra , calculus , probability, and statistics. Experience in time-series data analysis , including cleansing and normalization , and experience with scalable Machine Learning ( MapReduce , streaming). Software development expertise in Python and More ❯

of a world-class data lead organisation who are continuously moving forward with the latest AI trends? This company is a true innovator in building data driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. This person will be a senior engineer who will help both define and build … the companies. In the role you will be building large scale machine learning systems, apply the latest techniques whilst working with an elite team of researchers and engineers. No day will be the same, you will get to work on Driving end to model development lifecycle, leading the team in best practices, ensuring reproducible research and well managed … programming skills Hands on experience working within areas such as NLP, LLM, recommendation systems Information Retrieval stacks, GenAI (specifically RAG systems). Familiar with architecture and implementation of 1+ ML frameworks (PyTorch, scikit-learn). Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). Good knowledge of AWS’s machine learning infrastructure. More ❯

Senior Data Scientist | Lead Data Scientist | Data Engineering | Machine Learning | Cloud Computing | SC Cleared or Clearable | 2 days a week | £85,000 plus 15% bonus I am currently working with a brilliant consultancy with deep expertise in their field of Data and Cyber Security solutions, predominantly with Central Government organisations but they also have strong ties with Defence … understand business problems, create a novel models/solutions to help that client and communicate clearly with them the solution you have found, this combined with strong analytics/machine learning skills and a base understanding of engineering principles is the core of the role. This role will focus on you being the main POC for major clients … combined with technical leadership of the wider team across various projects. Key Skills Excellent knowledge of Python and the supporting machine learning and analytics tools Happy in a client facing capacity and able to relay complex solutions simply to the clients needs Experience managing client relationships, projects and technical teams essential Experience of deep analysis gaining actionable insight More ❯

Java Software Engineer - Java, Python, AWS, MySQL, NoSql, REST APIs, Microservices, Machine Learning, Artificial intelligence (Hybrid - 3 days a week in the office - Notting Hill) Description for the Java Software Engineer role:- You will be joining a fast-growing, research-driven company building an artificial intelligence using novel machine learning techniques. My client is revolutionising their … Microservices Strong database knowledge (SQL and NoSQL) Degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience in engineering. Experience or interest in AI or Machine Learning Salary for the Java Software Engineer will depend on experience, but expect between £60,000 and £80,000 + Pension + benefits Other benefits include:- Free breakfast … games etc.) The latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill. Java Software Engineer - Java, Python, AWS, MySQL, NoSql, REST APIs, Microservices, Machine Learning, Artificial intelligence Applicants must have the right to work in the UK, no sponsorship is offered for this role More ❯

and visionary Head of Data Science & Machine Learning to lead and scale our data science organization. In this role, you will drive innovation and execution across core ML pillars such as Search , Recommender Systems , Personalisation , and Generative AI (GenAI) to power the next generation of user experiences. You will be responsible for shaping the strategy, building high-performing … teams, and delivering impactful ML-driven features that directly influence key business outcomes. This is a hands-on leadership role that blends deep technical expertise with strategic vision and cross-functional collaboration. Key Responsibilities Strategic Leadership Define and execute the long-term strategy for Data Science & ML aligned with company goals. Champion a culture of innovation, experimentation, and scientific rigor. … Stay on top of industry trends and emerging technologies in AI/ML, particularly in GenAI, Search, RecSys, and Personalisation. Search & Information Retrieval Lead the development and optimization of scalable search systems, including relevance tuning, semantic search, and ranking algorithms. Integrate LLMs and transformer-based models to enhance search accuracy and contextual understanding. Recommendation Systems & Personalisation Oversee the design and More ❯