1 to 25 of 47 Machine Learning Jobs in Slough

access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely … good fit if you: Have strong experience in machine learning and computer vision. Have a strong record of successfully delivering high-performance ML-driven products. Have a deep understanding of machine learning theory. Have strong coding skills in Python and PyTorch. Care about building fair ...

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 … 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 ...

Title: AI/ML Research Engineer (London, UK) Location: Must be based London, UK Employment Type: Permanent Work Model: Hybrid (London) Introduction: Our client (international) is a collection of engineers and designers who want the world to connect beautifully. Their team first came together to build one of the world … every day and they're putting this knowledge to work, engineering and designing better ways to connect. They are establishing a new AI/ML engineering team in London to extend these capabilities. This is a foundational role, you will be among the first hires, helping to shape the technical ...

Permanent Remuneration (UK – Remote): £81–108k 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 are backed by prominent … institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend services and infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have ...

Engineer with strong software engineering fundamentals to join our team of domain experts and researchers. You will be responsible for building robust, scalable ML systems that bring our foundation models for retail from prototype to production. Key Responsibilities Design and build production-grade ML infrastructure, including training pipelines, model … serving, and monitoring systems. Collaborate with research engineers to translate experimental models into reliable, maintainable software. Optimise ML systems for performance, scalability, and cost-efficiency in cloud environments (distributed clusters, GPUs). Establish engineering best practices for ML development, including testing, CI/CD, and code review standards. Progression Timeline ...

Learning Engineer with strong experience in scaling training and inference pipelines for modern foundation models. You'll work at the intersection of ML research, infrastructure, and product engineering - turning cutting‐edge model code into scalable, reliable systems used in real‐world applications. This is a high‐ownership role … latency, memory usage, and throughput Productionize research code into robust, repeatable systems Work closely with researchers to convert exploratory notebooks into production frameworks Own ML infrastructure components — data loading, distributed compute, experiment tracking Design modular, reusable ML components used across the engineering org Requirements MSc or PhD in Machine ...

developers and researchers. Skills and Experience 5+ years of experience in software engineering, with a strong focus on AI and Machine Learning (ML). Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch. Proven experience building and deploying applications with LLM APIs such as OpenAI … MacBook and Apple Display provided. Team: Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. ...

Data Analyst About the Role We are looking for a Data Annotator/Data Analyst to support the development and evaluation of AI and machine learning solutions. In this role, you will be responsible for annotating datasets, ensuring data quality, and collaborating with data scientists and engineers … consistent, and accurate annotations following defined guidelines Analyze annotated data to identify patterns, issues, and opportunities for improvement Work closely with data scientists and ML engineers to refine annotation strategies Use annotation tools (e.g., Label Studio or similar) to manage and review datasets Perform basic data processing and validation using ...

that push the boundaries of AI integration in cloud services. Thought Leadership and Client Engagement • Provide architectural guidance to clients on incorporating GenAI and machine learning into their cloud[1]native applications and architectures. • Conduct workshops, briefings, and strategic dialogues to educate clients on AI benefits and applications … development. • Technologies: Proficiency in Python, Java (and/or Golang), and Spring; expertise in AWS, Azure, Google Cloud; Kubernetes and containerization. • AI Expertise: Advanced machine learning algorithms, GenAI models (e.g., GPT, BERT, DALL-E, GEMINI), NLP techniques. • Big Data: Experience with Hadoop and Spark. • Ethics: Knowledge ...

cutting-edge consumer facing app designed to change the physical in-store shopping experience. You'll collaborate closely with our team of ML & backend engineers and product to deliver a mobile experience that feels fast, personalised, and deeply responsive to user context. Responsibilities: Architect and drive the development of complex … engines. Take ownership of app performance, profiling and optimising for low latency, memory efficiency, and battery life in a resource-intensive environment. Integrate complex ML features into the UI/UX, bridging the gap between the Edge AI team's models and the user interface. Define and evolve the mobile ...

small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We're on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible … model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We're looking for a Lead ML Engineer, with a proven track record of delivering ML models to production, to own the ML team in our growing company. What you will ...

recruit an Information Scientist who will play a key role in advancing AI-enabled content analytics. In this position, you will apply NLP, machine learning, and information science methodologies to extract insights from biomedical literature, enhance R&D decision-making, and optimise scientific workflows. This is an exciting … implement AI-driven workflows for literature mining, summarisation, and trend analysis. Maintain and develop external information endpoints aligned with FAIR data principles. Apply machine learning and LLMs to improve information retrieval and automate content classification. Collaborate with cross-functional teams and act as a subject matter expert ...

applying machine learning to a hard, underexplored biological problem with real implications for climate resilience and food security. They're building an ML-first platform where research doesn't sit in isolation. Models are expected to ship, be used by scientists, and influence real experimental decisions. They … looking for an ML Engineer who: Has a strong grounding in modern ML (generative models, representation learning, geometric deep learning, etc.) Has expertise in building and managing ML infrastructure for large-scale training, inference, and deployment Has worked with biological or molecular data in some form... proteins, molecules ...

Cambridgeshire - hardware-heavy environment Proper engineering role: ownership, impact, and technical depth What you'll do Build and maintain scalable Python tooling that supports ML research workflows Improve reliability: fix bugs, optimise performance, and ship iterative enhancements in sprints Integrate with distributed compute, data storage, and internal development systems Work … that span systems Must-haves 4+ years of commercial experience building software in Python Hands-on with PyTorch or TensorFlow in production or applied ML environments Experience with distributed or high-performance computing Comfortable working with large/complex ML datasets and research-style workflows Good communicator: you can explain ...

GenAI technologies, including LLMs (Large Language Models), generative models, and related frameworks (e.g., LangChain, TensorFlow, etc.) Possess knowledge of cloud-based AI/ML services like AWS SageMaker, Azure Machine Learning, Google AI Platform, Databricks GenAI/BI, Snowflake GenAI, and their relevant services for building and deploying ...

autonomy. Responsibilities Modelling and Forecasting Develop time‐series models for generation, consumption, and market price forecasting. Build probabilistic and scenario‐based forecasting capabilities. Apply machine learning to optimise matching, pairing, and routing algorithms within the P2P marketplace. Trading and Optimisation Intelligence Create algorithms that optimise buyer–seller matching … recommendations. Nice to Have Experience with marketplace or matching algorithms. Exposure to flexibility markets, virtual power plants, or reconciliation/settlement processes. Experience with ML deployment frameworks (MLflow, Vertex AI, SageMaker). Knowledge of optimisation libraries such as Gurobi, OR‐Tools, or Pyomo. ...

management. Familiarity with third-party/vendor risk management platforms and frameworks (e.g., NIST, ISO 27001, SOC2, supply-chain risk standards). Understanding of machine-learning/AI concepts (e.g., risk-scoring models, graph analytics, anomaly detection). Experience working with enterprise B2B customers, especially security teams, procurement ...

Doing As an Back-end Engineer at GSK, you could get involved with: Backend development for Python-based web applications. Integration of AI/ML components with backend systems, data pipelines, and compute infrastructure. Delivering high-quality implementations following best practices, including automated testing and documentation. Participating in code reviews ...

Model transformation with working knowledge of Agile, Kanban, DevOps methodologies Expertise in Migration to Cloud (Any Hyperscalar: GCP, AWS, Azure) Expertise of AI/ML models especially building RCPG use cases like Promotions, Demand Forecasting etc. ...

APIs (OpenAI, Anthropic, DeepSeek, Qwen) Exposure to Docker or Kubernetes Familiarity with cloud providers (AWS/Azure/GCP) Coursework or experience in ML, transformers, NLP, or distributed systemsBonus (not required) Interest in real estate Interest in finance or quantitative modelling Experience building agents (LangChain, LlamaIndex, custom architectures) What ...

Their platform captures operational knowledge and turns it into production grade systems that AI can interact with safely and reliably. This is not applied machine learning, not foundation model development, and not experimental agent playgrounds. The work is focused on the engineering around AI: evaluation, control, reliability ...

accounting concepts Previous use or experience with accounting software (Xero, Sage, Oracle NetSuite, SAP) Experience producing technical content (blogs, documentation, tutorials) Not Required: Machine learning research experience. We deploy models, we do not build them. Results You will be measured on outcomes that matter: Build and maintain GenFinance … exceptional candidates who also demonstrate exceptional technical English speaking ability. Benefits £35,000 to £55,000 base salary (dependent on experience) £1,500 annual learning and development stipend to focus on your interests in the field Pension contributions Free gym membership Quality equipment (Mac, etc.) Various discounts and perks ...

mentoring and influencing best practices across the wider organisation. Requirements: Experience as a computer science or software engineer Proficiency in Python Experience using machine learning and AI frameworks Worked with LLMs Solid understanding of data modelling, statistical methods, and experimental design Experience developing APIs and embedding models within ...

class data infrastructure. Key Requirements Strong Python (pandas, NumPy, scikit-learn; PyTorch/TensorFlow a plus) and SQL skills Experience applying advanced analytics or ML to real-world data (finance, fintech, or forecasting contexts ideal) Proficiency with BI tools (Tableau or similar) 2–6 years' relevant experience and a strong ...

client projects. Deliver billable strategic consultancy for clients where required. Technical and Market Insight Maintain a strong understanding of relevant technologies, including AI and machine learning applications, and digital production processes. Use Google Analytics and other tools to analyse data, inform strategic decisions, and demonstrate ROI. Collaboration ...