51 to 75 of 109 Machine Learning Jobs in Berkshire

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 ❯

of R&D processes, including discovery, translational, clinical development, and regulatory submissions Proven experience in enterprise data governance, architecture, and platform design in GxP environments. Familiarity with AI/ML enablement, though not focused on algorithm development. Strong stakeholder engagement, communication, and change leadership skills. Expertise with modern data stack: cloud platforms, data lakes, FAIR principles, and standards like CDISC More ❯

children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work About the Business LexisNexis Legal & Professional are a leading global provider of legal and regulatory intelligence. We … give organisations the business information and analytics they need to make better, more impactful decisions. We are building powerful new decision tools that use machine learning, natural language processing, visualisation and artificial intelligence that aid and enhance decision making. More ❯

technical input for proposals, solution scoping, and proofs-of-concept. Attend occasional client meetings or events across the UK, Europe, and internationally. Required Experience Strong knowledge of data modelling, machine learning, and/or advanced data analytics. Demonstrable track record of delivering data analytics projects as part of a team. Hands-on experience with collaborative software development and … Comfortable contributing to technical discussions and implementing solutions defined by project leads. Desirable Experience Strong Python expertise. Experience with GNU/Linux environments. Familiarity with key data science and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face). Experience in natural language processing, tabular data analysis, or computer vision. SQL proficiency. Exposure to containerisation (Docker, Kubernetes) and cloud More ❯

intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist 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 More ❯

scalable code in TypeScript Champion DevOps best practices (CI/CD, automation, IaC) Collaborate, challenge, and bring fresh ideas What you'll bring Proven AWS (Lex + AI/ML) experience Strong TypeScript background DevOps mindset (CI/CD, serverless, monitoring) Bonus: contact centre tech experience A chance to work on cutting-edge AI projects with real impact - and extend 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 ❯

and scaling BI teams. Experience delivering BI strategies and aligning analytics with business KPIs. Background in Azure data platforms. Desirable: Python for automation and analytics. Exposure to AI/ML-driven BI (e.g. natural language querying, automated insights). Experience with CI/CD for BI solutions and version control (Git). Interview Process: Initial screening call. Face-to-face 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 ❯

Lead data science projects focused on pricing optimisation and revenue management. Manage and mentor a small international team of data scientists (UK and US based). Build statistical and machine learning models to enhance customer value and business outcomes. Develop and run rigorous experimentation frameworks (A/B, MAB, causal inference). Work cross-functionally with engineering, product More ❯

Cutting-edge trading fund operating at the intersection of data science, finance, and technology. Strategies are fully automated and deployed across global markets, leveraging advanced statistical methods, machine learning, and high-frequency execution. As we continue to scale, we’re seeking a sharp, detail-oriented Investment Risk Analyst to strengthen our risk function and help us stay one More ❯

advanced technology solutions, working with clients across banking, finance, IT, government, retail, and beyond. As a Graduate Business Development Manager , you will sell innovative solutions within SaaS, Cloud, AI, Machine Learning, IT Security, Managed Services, IOT, Project Applications, Unified Communications, NLP, Data, and UcaaS. This is not a transactional sales role, it requires a consultative, entrepreneurial mindset , the More ❯

validate data flows before systemisation.Collaborate with stakeholders to prioritise high-impact innovations. Data Structures Understand and optimise data structures for use in pipelines, technologies, and business cases.Apply knowledge of machine learning, predictive analytics, and advanced visualisation.Design KPIs and model decision logic for enterprise data processing. Data Governance & Quality Lead data validation and health checks to ensure integrity and More ❯

Tools (e.g. Adobe Analytics, Amplitude, Mixpanel). Ability to set up behavioural tracking measurement plans (e.g. designing events schemas). Strong analytical skills, including A/B Testing, foundational Machine Learning concepts, Data Visualisation and Storytelling. Good communication and stakeholder management skills, experience working in cross functional/embedded analytics teams. Good strategic and business thinking, allowing to More ❯

to see the impact of their actions, including visibility of daily P&L attribution. The role is broad and not limited to performance optimisation, rearchitecting systems, enabling large-scale ML model training, building out research tooling and much more. About you: Strong experience of software engineering and end-to-end solutions ownership. Proficiency with Python and/or C# (other More ❯

Security and vendors Develop and maintain comprehensive documentation of application enterprise architecture Proactively identify emerging trends and technologies in application development and deployment, including microservices, serverless computing, AI/ML, DevOps, and cybersecurity threats. Translate these into actionable strategies for the firm. Manage and mitigate risks associated with application development and deployment, ensuring compliance with security standards, data privacy regulations More ❯

Advanced degree in a quantitative discipline (e.g. Computer Science, Financial Engineering, Applied Mathematics, Statistics) from a high ranking University ✅Experience/internship at a buy-side firm ✅Python proficiency ✅Machine learning experience is preferred ✅Experience developing FX or Futures strategies. ✅Ability to work in a fast-paced quantitative environment ✉️To discuss this opportunity in more detail please reach More ❯

number of years of experience working within Risk Modelling, Risk Management, Risk Validation Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictive modelling Industry knowledge of forecasting in Automotive/Finance/Manufacturing is high desired What's in it for you: 💰Salary More ❯

Graduate IT Engineer, Bershire, 35-38k SaaS, Cloud, AI, Machine Learning, IOT, NLP, Data, Telecoms, Technology As a Graduate IT Engineer, you will Deliver exceptional technical support from first contact through to resolution. Work with customer-facing tech teams to help configure and provision cloud-based communication services. Gain hands-on experience in a real-world, fast More ❯

transfer and training to ensure best practices across teams Preferred Qualifications: Experience in financial services (e.g., brokerage, asset management, or banking) or a strong macroeconomic research background Familiarity with machine learning, NLP, and large language models (LLMs) Knowledge of various datasets (e.g., earnings, filings, credit card, CCTV) Master’s degree in a relevant field is a plus More ❯

For: 5+ years in perception for robotics or autonomous systems. Strong experience in computer vision, human pose estimation, and intent prediction. Knowledge of safety-related perception standards. Proficiency with machine learning frameworks (PyTorch/TensorFlow). Experience integrating perception into real-time safety systems. What We Offer: Competitive salary plus participation in our Stock Option Plan Paid vacation More ❯

analytics, and data product architectures Exceptional communication, negotiation, and executive storytelling skills. Preferred: Advanced certifications in data and analytics or business leadership. Experience in deploying ThoughtSpot solutions. Background in machine learning product development , predictive analytics, or AI-powered business intelligence solutions. Knowledge of the automotive retail industry , including understanding of dealership operations, inventory management, customer lifecycle, and automotive More ❯

expertise with modern data stack tools (e.g., cloud data platforms, dbt, orchestration tools). Strong understanding of data governance, quality, and compliance in regulated environments. Familiarity with AI/ML technologies and their real-world application in finance. Proven leadership, stakeholder engagement, and team development capabilities. Excellent problem-solving, communication, and presentation skills. Location: London Please note, our client is More ❯

strategy A strong grasp of cloud platforms (e.g. AWS), modern SDLC practices, and enterprise-scale architecture Bonus if you’ve worked in: Media, creative services, or gaming AI/ML-enabled platforms or content workflows Businesses that blend physical and digital service delivery Why Now? The business is scaling fast, with growing demand from global clients The platform is live More ❯