26 to 50 of 109 Machine Learning Jobs in Berkshire

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 ❯

of their in-house data science capabilities. This is a newly created role where you'll shape the future of how the team integrates advanced analytics, diverse datasets, and machine learning into high-impact client projects across sectors such as media, tech, and entertainment. You’ll be joining a collaborative, supportive environment with around 60 consultants, strategists, and … MaxDiff, KDA, etc.) Processing large, complex datasets (e.g. transactional data, 1st-party data, behavioural) Developing infrastructure and tooling for scalable analysis Expanding the use of AI, synthetic data and machine learning Collaborating with marketing to shape new, data-led propositions Upskilling team members in data science and statistical thinking Representing the agency externally in thought-leadership or event … as 1st-party or behavioural data Ability to explain technical findings clearly to non-technical audiences An innovative and proactive mindset with a love of new ideas, tools, and learning Nice to Have Experience establishing data science workflows in a commercial setting A track record of upskilling or training others in data/statistics A desire to contribute to More ❯

Design, research, and implement systematic trading strategies across global equities, futures, FX, or other liquid asset classes Conduct high-quality alpha signal research using alternative data, statistical techniques, and machine learning when appropriate Develop and test robust portfolio construction, execution, and risk management models Collaborate closely with data engineering and infrastructure teams to enhance research platform capabilities Take … trading firm, or top-tier investment bank Proven track record of alpha generation or contribution to profitable strategies Deep understanding of statistical modeling, time-series analysis, and/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics 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 ❯

with advanced AI technologies to create impactful data driven applications. Responsibilities Partner with enterprise clients to understand requirements and design tailored AI and data science solutions Apply statistical modelling, machine learning, and programming expertise to solve complex problems Explore and implement modern AI technologies including large language models, retrieval augmented generation, and advanced automation tools Deliver production ready … technical approaches into clear business outcomes Stay up to date with rapidly evolving AI tools and actively incorporate them into solution design Requirements Strong background in data science and machine learning with solid understanding of statistics and programming Exposure to MLOps and experience deploying models into production environments Interest and practical experience in using emerging AI technologies such … and flexible work environment with a comprehensive benefits package including: 25 days of annual leave plus bank holidays Share options and pension scheme Health and dental insurance options Professional learning and development budget Cycle to work scheme and technology allowance Referral bonus scheme Opportunities to work abroad for limited periods Regular team socials and office perks More ❯

of email marketing metrics, A/B testing methodologies, and data-driven optimization. Exceptional writing and editing skills, with a talent for making complex topics like computer vision and machine learning accessible and exciting. A genuine interest in artificial intelligence and a desire to learn about our models, such as YOLOv8 and YOLO11. Excellent problem-solving skills and … projects. Gear: Brand-new Apple 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. More ❯

of email marketing metrics, A/B testing methodologies, and data-driven optimization. Exceptional writing and editing skills, with a talent for making complex topics like computer vision and machine learning accessible and exciting. A genuine interest in artificial intelligence and a desire to learn about our models, such as YOLOv8 and YOLO11. Excellent problem-solving skills and … projects. Gear: Brand-new Apple 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. More ❯

s possible in object detection, segmentation, and other core computer vision tasks. Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models like YOLO11 to the community. 🛠️ Skills and Experience 5+ years of hands-on experience in Computer Vision and Deep Learning. Expert-level proficiency in … HUB. Gear: Brand-new Apple 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. More ❯

Platform Engineering Lead – London An AI-first organisation is applying frontier machine learning to help unlock deeper scientific insights, accelerate breakthroughs, and bring life-changing medicines to patients faster. Their mission is ambitious: to transform drug discovery and, ultimately, solve all disease. This is a rare opportunity to join an interdisciplinary team at the cutting edge of AI … the Head of Engineering to set long-term technical strategy Mentor team members and foster engineering best practices What We’re Looking For Essential: Proven track record building complex, ML-focused platforms Strong proficiency in Python Experience leading cross-team engineering efforts or overseeing multiple teams Ability to manage ambiguity and drive clarity across projects Comfortable integrating open-source and … third-party software Experience working closely with machine learning teams Nice to Have: Background in biotech, pharma, or AI-driven drug discovery Experience in both large organisations (with structured processes and metrics) and smaller/startup environments (delivering with limited resources) Knowledge of observability and reliability practices for product platforms Security or compliance experience Why Join? Be part 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 ❯

STEM/Mathematics/Support/London/Software/SaaS/Analyst/Analytical/Technical Support/Computer Science/Analyst/AI/Artificial Intelligence/ML/Machine Learning/Tech/Technology Are you a French-speaking, recent STEM graduate looking for a long-term career opportunity? Do you love technology? We might 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 ❯

building the world’s first brain foundation models — large-scale AI systems designed to deeply understand, protect, and enhance the human brain. By generating our own data, developing novel machine learning approaches, and working closely with world-leading neuroscientists, the company aims to accelerate discoveries that transform how neurological diseases are treated and prevented. This is a rare … real-world insights from raw biological data. Key Responsibilities Design and implement distributed data pipelines for multi-omic, neuroscience, and clinical datasets Build a unified feature store to serve ML training and downstream biological analysis Develop scalable storage, ingestion, and validation systems with a focus on robustness, observability, and versioning Collaborate with ML researchers and biologists to translate raw data … Flyte/Temporal) Hands-on cloud engineering experience (AWS, GCP, or Azure) Strong software engineering fundamentals, with a track record of writing maintainable, testable, and extensible code Familiarity with ML infrastructure and prior experience supporting ML teams in production environments Bioinformatics or biological data exposure (preferred, not required) — willingness to learn is essential Excellent communication skills and ability to collaborate More ❯

get there): Cloud platforms (AWS, Azure) Containerisation (Docker, Kubernetes) Database systems (SQL, NoSQL, Graph) Configuration & deployment tools (Ansible) Exposure to Machine Learning frameworks (TensorFlow, AWS/Azure ML) The Package Up to £72,000 base salary Bonus scheme Hybrid working – London or Manchester hub Private healthcare & pension Career development pathways in a consulting-style environment Opportunities to contribute More ❯

prototypes and POCs showcasing the value of new ideas, integrating AI with front-end and back-end systems. AI & Machine Learning Implementation: Design and deploy AI/ML models to extract insights from energy data and enhance customer experience. Full-Stack Development: Architect end-to-end solutions, ensuring seamless integration and optimal performance across the tech stack. Technical 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 ❯

Contract Full Stack Developer (AI/LLM Focus) Day Rate: £700 - £750/day (Flexible Depending on Experience) Initial Term: 6 months (Possibility of Extension) Location: Windsor, UK (Hybrid) Opportunity Overview We’re seeking a full stack developer with strong More ❯

Contract Full Stack Developer (AI/LLM Focus) Day Rate: 700 - 750/day (Flexible Depending on Experience) Initial Term: 6 months (Possibility of Extension) Location: Windsor, UK (Hybrid) Opportunity Overview We're seeking a full stack developer with strong More ❯

Contract Full Stack Developer (AI/LLM Focus) Day Rate: £700 - £750/day (Flexible Depending on Experience) Initial Term: 6 months (Possibility of Extension) Location: Windsor, UK (Hybrid) Opportunity Overview We're seeking a full stack developer with strong More ❯

footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest 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 ❯

performance metrics to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to drive innovation. Your analytical rigor will be critical to advancing … Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of experience in a data science or analytics role, preferably within the AI/ML industry. Expert-level proficiency in Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly … projects. Gear: Brand-new Apple 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. More ❯

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with … equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark More ❯

and capabilities that these typically solve for Familiarity with one or more of the hyperscale cloud platforms (Azure, AWS, GCP) Knowledge of emerging efficiency driving technologies such as AI, Machine Learning, and/or intelligent automation Proven aptitude in business development , encompassing account planning, pitches, and proposals. Your Key Abilities: Exceptional interpersonal skills spanning organizational levels, including ability 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 ❯