1 to 25 of 57 Permanent Machine Learning Jobs in Slough

in healthcare. They’re now looking for a Director of Machine Learning to join on an initial 6-month contract leading a talented team of around 20 ML engineers and data scientists. 📍 London | Hybrid (2 days/week onsite) 📅 Start: ASAP | ⏳ 6-month contract 💰 Outside IR35 - rate depending on experience The Opportunity Lead, coach and inspire a high … performing team of 20+ ML engineers, data scientists and applied researchers. Drive the ML strategy and roadmap, ensuring models are innovative, scalable and embedded at the core of the product. Partner with Product and Commercial leaders to align technical work with customer value and business outcomes. Push the boundaries of AI, NLP and machine learning applications. Solve complex … product challenges, working with API-first and headless architectures. Act as a thought leader, representing ML at exec level and guiding stakeholders on opportunities and trade-offs. About You Experience as a Director/Head of Machine Learning in a product-led tech company. Strong expertise in machine learning, NLP and applied AI. Proven success leading More ❯

in developing new index methodologies. 🧠 About the Role Scientific Beta is seeking a highly experienced and innovative Lead Expert in Natural Language Processing (NLP) and Machine Learning (ML) to spearhead the development of next-generation sustainability and financial metrics. This is a unique opportunity to leverage cutting-edge language models and insights at the intersection of empirical finance … driving the research, development, validation and product implementation of novel metrics by extracting valuable information from textual data. 📌 Key Responsibilities Lead the conceptualization, design, and implementation of NLP and ML models for extracting insights related to sustainability and financial performance from diverse textual sources. Develop and apply state-of-the-art language models to extract relevant information and integrate academic … financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. 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 ❯

As a Data Science Lead in Research Analytics, you'll drive analytics solutions that inform compound and antibody discovery for early drug platforms. You'll apply data science and machine learning to diverse datasets-imaging, gene expression, high-throughput screens, and sequencing (e.g., mRNA display)-to identify initial hits and establish early structure-activity relationships. Your work supports … with other biotech or technology companies. What you'll do Lead platform development of novel modalities such as peptides, impacting therapeutic projects with data-driven insights using analytics and machine learning on high-dimensional datasets conducted with complex biological assays (e.g. next-generation sequencing, cell-based assays, time-series assays, high-content assays, -omics assays, etc.). Clear … types, file formats, and common metadata used in biology, including high-dimensional experiments such as imaging, or high-throughput experiments such as peptide/biologics display. 8+ ofexperience with machine learning on large/high dimensional datasets including data manipulation, wrangling, and analytics. 8+ Experience with machine learning on chemical, sequence, and/or biological features. More ❯

the opportunity to work with market leading business & retailers! They are looking for a Data Scientist to join their Data Science team! RESPONSIBILITIES: Work on designing and building advanced ML models - including propensity and clustering Apply machine learning, statistical, and econometric methods to a range of other customer data science problems Working closely within a team to understand … troubleshoot, and maintain machine learning models Maintain and enhance existing ML models, ensuring all models are deployed in production are monitored. Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven … communication skills Knowledge of databases and SQL NEXT STEPS: Register your interest by sending your CV to Joseph Gregory via the Apply link on this page. KEYWORDS: Data Science, Machine Learning, Retailers, Pricing, Price optimisation, Demand Forecasting, Customer, cluster, propensity More ❯

us in our commitment to uniting science, technology, and talent to get ahead of disease together. Position Summary At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes … at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI. We’re looking for a highly skilled Backend Engineer to help us make this vision a reality. The ideal candidate will have a track record of shipping data … of NLP techniques and experience of processing unstructured data, using vector stores, and approximate retrieval. Familiarity with orchestration tooling (e.g. Airflow or Google Workflows). Experience with AI/ML powered applications. Experience with Docker or containerized applications. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special More ❯

Lead Machine Learning Engineer Up to £100,000 Company: They are an AI-driven climate risk analytics platform that partners with businesses within Insurance … Private Equity, Asset Management and governments to understand and prepare for the physical and transitional impacts of climate change. Responsibilities: Lead, mentor, and grow a high-performing team of ML engineers. Combine ML with physics-based risk models (flooding, tropical cyclones, wildfires) to deliver grounded, high-impact solutions. Establish gold-standard practices for evaluation, deployment, observability, and maintainability in ML More ❯

decisions and solution governance. Write clean, efficient, and scalable code that adheres to software engineering principles, MLOps practices, and cloud-native development. AI Solution Delivery: Own the implementation of ML pipelines, APIs, and data integration workflows. Operational Excellence: Contribute to defining reusable development patterns, enforcing coding standards, and implementing MLOps best practices that support version control, performance optimisation, and maintainability. … of RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning … deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience More ❯

make this vision a reality. The ideal candidate will have a track record of writing and shipping quality, well-documented and well-tested software – preferably in the AI/ML industry. This person should be comfortable with modern, cloud-native computing, and with continuous development and production deployment on cloud platforms to large user populations. Educational or professional background in … a plus but is not necessary; passion to help therapies for new and existing diseases, and a pattern of continuous learning and development is mandatory. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to … work. Our leaders will be committed to your career and development from day one. Key Responsibilities Back end development for a Python web application. Integration of AI/ML components with frontend, backend, data and compute infrastructure. Responsible for high quality software implementations according to best practices, including automated test suites and documentation. Develop, measure, and monitor key metrics for More ❯

a reality. The ideal person for this role will have a track record of writing and shipping quality, well-documented and well-tested software – preferably in the AI/ML industry. They should be comfortable with modern, cloud-native computing, and with continuous development and production deployment on cloud platforms to large user populations. Educational or professional background in the … a plus but is not necessary; passion to help therapies for new and existing diseases, and a pattern of continuous learning and development is mandatory. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to … your career and development from day one. Key Responsibilities Front end implementation for a React application. Visualizing and interacting with scientific data and workflow progression. Integration of AI/ML components with frontend, backend, data and compute infrastructure. Responsible for high quality software implementations according to best practices, including automated test suites and documentation. Develop, measure, and monitor key metrics More ❯

machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring and improving platform and product performance … Looking For: 4+ years of experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills More ❯

Technical Support Engineer/Graduate IT Engineer 35-38k, Trainee. SaaS, Cloud, NLP, AI, Machine Learning, Data Science, Python, MATLAB, Software Development Tools, Technical Support, Client facing, Computer Science, STEM, Mathematics, Physics, Natural Science, Electronic Engineering Graduate, who want to work with awesome Technologies such as, AI, Machine2Machine Learning, Cloud Applications, Unified Communications, Software Solutions IT … going basis. Must have excellent client facing, problem solving skills, and solid attention to detail. Salary 37-38k. (Training in Software Development, AI technologies, IOT, Contact Centre application, Machine Learning, SaaS, Cloud Applications), and more. Very Much of a Customer facing CX ROLE. Our clients take pride in their core beliefs of teamwork, quality and agility. Time … Technical Support Engineer/Graduate Software Developer 2:1 Bachelors Degree in Computer Science/STEM/Mathematics/Physics/Chemistry/Electronic/Electrical Engineering, Natural Science, Learning and Developing their skills, (Life learner attitude) Experience communicating technical information to a variety of technical and non-technical people Experience or knowledge of database query language (i.e. SQL More ❯

a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets. Extract actionable insights from large-scale sports datasets using sound mathematical and statistical principles. Translate modelling requirements … Experience working with Python or R in a production or research setting. Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow. Experience working with SQL and relational databases. Ability to explain model behaviour through visualisations … contribute to cross-functional discussions. Proven problem-solving and time management skills. Desirable: Familiarity with cloud services (e.g. AWS S3, Athena, Lambda). Basic understanding of data engineering or ML pipelines. Knowledge of distributed systems (e.g. Kafka). Interest in American sports or the betting industry. Some exposure to .NET-based systems or application integration. Follow our company page, OTA More ❯

on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime … and reducing customer churn Evaluate and optimise all models, identifying areas for development Work end-to-end both building and deploying models Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business … effectively in a fast-paced, collaborative environment. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity More ❯

met. What Will Make You Stand Out Advanced catastrophe modelling knowledge, especially in exposure/vulnerability domains Applied statistical skills in uncertainty quantification, Bayesian statistics, or Extreme Value Theory Machine learning experience related to climate risk or catastrophe modelling Experience with cloud platforms such as AWS or Google Cloud If you are interested in this role, please apply … Data Scientist, Climate Risk Analyst, Loss Modeller, Statistical Modelling, Earth Observation, Python Programming, R Programming, Catastrophe Modelling, Hazard Modeller, Geospatial Data, Climate Data Science, Extreme Value Theory, Data Scientist, Machine Learning, Bayesian Statistics, Exposure Modelling, Vulnerability Analysis, Model Builder, Hybrid Working, Visa Sponsorship, Relocation Support, Climate Analytics, Financial Risk, Physical Risk, Research Scientist, Data Modelling More ❯

Looking for a deep learning role that could make the Mariana trench seem like a puddle? This global investment manager hires asset class experts, such as an ex-portfolio manager from a Tier 1 hedge fund to grow and manage risk. You’re going to be part of headcount growth this year to over 1000 which includes a … increase into research. You’ll collaborate to develop different machine learning models for trading strategies and create high quality signals. You'll be working at an MFT systematic multi-strat fund whose performance has been top tier over the last few years, with AUM and headcount growing. Despite their larger size, their structure remains collaborative and not solely … shop based, a rare find for an investment firm of this calibre. You will ideally have prior experience in a fund within financial services with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also be required. Want to More ❯

Job Title: Contract Deep Learning Engineer Location: London (Hybrid or On-site) Contract Type: 6–12 months (with potential extension) About the Role: We are seeking a highly skilled Deep Learning Engineer to join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world … computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies. Optimize model performance and scalability for production environments. Conduct experiments, evaluate model performance, and iterate based on results. Maintain … to knowledge sharing across the team. Stay up-to-date with the latest research and techniques in deep learning. Required Skills & Experience: Proven experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience More ❯

Learning, or a related field. 6-8 years of professional, hands-on experience in software engineering, with a primary focus on building and deploying complex AI/ML systems into production. A proven track record of delivering scalable, reliable, and high-performance software solutions from concept to deployment. More ❯

relationships with clients and internal stakeholders to deliver integrated, value-driven solutions. Mentor and develop consulting teams and our future leaders, modelling transformational leadership and a commitment to continuous learning and growth. Maintain full accountability for outcomes, including financial targets, client impact, and the ongoing development of DT’s capabilities and reputation in the market. You will thrive in … or global capability centre environment. Expertise in building and maintaining automated data pipelines and scalable analytics infrastructure to support strategic decision-making and business operations. Proficiency in statistical concepts, machine learning algorithms, and advanced quantitative research methodologies. Experience with cloud platforms (AWS, Azure, GCP) and modern data architectures. Demonstrated entrepreneurial mindset, with a passion for delivering outstanding client More ❯

Lead Software Engineer | Python, ML, AI, | Hybrid | London Backed by technology start-up accelerator and venture capital firm £60,000 - £80,000 per annum | 2+ Years of Experience Join a mission-driven AI startup transforming how medical and healthcare organisations collaborate. Using machine learning and advanced recommendation systems, the team helps to matchmake some of the leading Medical … ll have enormous amount of autonomy and project ownership working in a fast paced start up environment. What You’ll Do: Build product-facing AI solutions and collaborate on ML model development, training, and deployment. Design and develop scalable backend and full-stack systems with robust APIs and efficient data flows. Work with SQL & NoSQL databases (Postgres, MongoDB, Elasticsearch) and … rapid delivery with robust architecture and quality. Must-Haves: 1–2+ years of professional software engineering experience (backend, DevOps, or full stack). Proficiency in Python and experience building ML-oriented solutions. Hands-on experience with DevOps, CI/CD pipelines, and version control. Familiarity with cloud platforms, preferably Azure. Comfortable with SQL and NoSQL databases. Right to work in More ❯

December 2026. What are we looking for? A seasoned data architect with 8+ years of experience in data architecture and engineering, specifically in the context of generative AI and machine learning applications. Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. … and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity More ❯

Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ More ❯

in partnership with approved vendors—to align on business needs, define use cases and develop implementation plans as part of overall product roadmap. Collaborate with team-members (software engineer, ML engineers, data engineers, product owners, etc.) in design reviews and critical feedback sessions to continuously improve product delivery Partner with and influence stakeholders across the insights & analytics space and in More ❯

Month Rolling Contract | Long-Term Engagement Location: London Skills: Python/Azure/Databricks/Snowflake The Role: Design and build powerful data pipelines that fuel real-time decisions, machine learning, and next-gen analytics at scale. Transform raw data into trusted, usable assets - the foundation for everything from executive dashboards to product innovation. Own the data flow More ❯

challenges with autonomy. Role Requirements: Exceptional ability with tools such as Python, Airflow, SQL, and at least one Cloud provider Experience forecasting, customer, and propensity models Experience with building machine learning models and deploying at scale 2:1 or above in Mathematics or STEM Degree from a Top UK university 3 years' experience in a Data Scientist or More ❯