201 to 225 of 601 Machine Learning Jobs in Berkshire

teams at my client's company provide critical analysis for various departments, including Commercial, Marketing, Operations, and Product teams. They are committed to continuous learning and staying up-to-date with the latest developments in data analytics. What You'll Need: Extensive expertise in advanced analytics, including AI, machine learning, optimization, simulation, predictive analytics, and advanced statistical techniques. Proven experience in developing and implementing generative AI solutions and strategies. Exceptional problem-solving skills with the ability to break down complex problems and identify key performance drivers. Outstanding communication skills to effectively convey data insights to various functions More ❯

energetic, responsible and together - shape the foundation of our corporate culture. Join us for a rewarding career in management consulting, offering competitive compensation, continuous learning, and ample opportunities for professional growth. For more information, visit www.wavestone.com and become part of our journey to shape a positive and impactful future. … as organisational structures that enable data democratisation. D&AI Use Case Development & Value Realisation : End-to-end advisory from identifying high-potential AI/ML opportunities to developing business cases, prioritising implementation roadmaps, and establishing ROI measurement frameworks to track and demonstrate value. D&AI Architecture & Platform Advisory : Combining architectural … data and/or AI strategy and operating model disciplines, having been responsible for developing and delivering strategic data and/or AI/ML initiatives and defining optimal organisational structures for the Data & AI functions either within a wider technology function or a business unit. Experience of helping organisations More ❯

working with external vendors. Effective communication skills, with experience presenting to senior management. Understanding of business processes and how technology aligns with segment priorities. Learning agility and enthusiasm for new technologies. Negotiation and influencing skills, with a proven ability to deliver in matrix organizations. Key Responsibilities Design and maintain … R&D, and Commercial areas. Communicate analytics capabilities, standards, and processes effectively. Collaborate on technical architecture development with engineers and architects. Expand knowledge in machine learning, data science, AI, and related fields. What can you expect from Mars? Work with diverse, talented teams guided by our Five Principles. … Join a purpose-driven company committed to building a better tomorrow. Access to top-tier learning and development resources, including Mars University. Competitive salary and benefits, including bonuses. Mars is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender More ❯

one of the world’s leading management consultancies. Based in London, you’ll work with global clients to solve complex problems using advanced analytics, machine … learning, and Generative AI. Key Responsibilities: Lead data science initiatives across banking, asset management, and insurance engagements Architect and deliver end-to-end ML/AI solutions for strategic client challenges Provide thought leadership on the application of GenAI in financial services Mentor junior data scientists and contribute to … including consultants, engineers, and domain experts Required Experience: 7+ years of data science experience, with significant exposure to financial services Proven track record delivering ML/AI solutions in complex, real-world environments Strong Python skills and experience with key ML libraries (e.g., scikit-learn, XGBoost, PyTorch) Exposure to Generative More ❯

Senor/Principal AI/ML Engineer – Biotech Salary: £80,000 - £120,000 Location: London/Remote A cutting-edge Biotech company are looking for a Senior/Principal AI Engineer to join their R&D team developing novel data solutions for Biotech applications like Oncology, Pathology & RNA-Seq. Key … Responsibilities: Collaborate with scientists, engineers, and product teams to build and scale AI/ML models. Take projects from prototype to production-ready software. Create tools for training, testing, and optimizing AI/ML models. Work across cloud and on-prem environments. Improve code quality and development speed. Key Skills … BS/BEng in Comp Sci, Biomedical or another relevant discipline Strong experience with software or algorithm development. Strong Python skills Experience with deep learning frameworks (TensorFlow/PyTorch.) Familiarity with version control (e.g., Git). Experience with Docker or other container languages A passion for applying tech to More ❯

start-up based in London, revolutionizing the way Non-traditional financial risks are delivered to the market. We are dedicated to leveraging cutting-edge machine learning and artificial intelligence technologies to evolve our product into an agentic AI system that seamlessly integrates into clients' systems, automating compliance and … the implementation of best practices and industry standards. Collaborate with frontend developers, data scientists, and product managers to integrate backend services with AI/ML models and frontend applications. Implement data processing pipelines to handle large volumes of financial data efficiently. Write clean, maintainable, and well-documented code. Participate in … SaaS architecture and experience building scalable, secure applications. Strong communication skills to effectively collaborate with cross-functional teams. Preferred Qualifications: Experience with AI/ML integration into backend systems, particularly in fintech or risk analysis contexts. Familiarity with agentic AI concepts and frameworks (e.g., OpenAI APIs, LangChain). Knowledge of More ❯

Brainpool is a fast growing AI start-up, providing custom AI services for business since 2017. Brainpool network of 500 top-level AI and Machine Learning experts supporting delivery of our projects include PhD and MSc-level scientists from top universities such as UCL, Oxford, Cambridge and Harvard. … a MSc in Mathematics, Physics, Computer Science, or an Engineering discipline (STEM). Desirable knowledge and experience Understanding of or working with AI/ML algorithms and data science. Docker and Kubernetes. Experience with Large Language Model stacks, vector databases, Haystack, open-source (Mistral, Falcon, Llama 3), and closed-source More ❯

Brainpool is a fast growing AI start-up, providing custom AI services for business since 2017. Brainpool network of 500 top-level AI and Machine Learning experts supporting delivery of our projects include PhD and MSc-level scientists from top universities such as UCL, Oxford, Cambridge and Harvard. … a MSc in Mathematics, Physics, Computer Science, or an Engineering discipline (STEM). Desirable knowledge and experience Understanding of or working with AI/ML algorithms and data science. Docker and Kubernetes. Experience with Large Language Model stacks, vector databases, Haystack, open-source (Mistral, Falcon, Llama 3), and closed-source More ❯

quality, and operational decision-making. You’ll work on problems like labour demand forecasting, optimisation, and service quality analysis using Python, AWS, and modern ML frameworks. Essential skills: 2+ years’ experience building production-grade ML/AI models Strong Python skills and experience with ML libraries Solid understanding of statistics … and machine learning Experience with Cloud tools (AWS preferred) Demand forecasting Computer vision or optimisation What’s on offer: Ownership shares in a high-growth tech business Unlimited holiday allowance Private medical insurance Employer pension contribution (3 percent) Office gym membership Dog-friendly Camden office (4 days a More ❯

Jenkins, GitLab CI/CD, CircleCI). Preferred Qualifications Master’s degree in Computer Science, Software Engineering, or related field. Experience with Python-based machine learning libraries is a plus. Experience with data pipelines and Big Data frameworks. Familiarity with Agile methodologies, especially Scrum or Kanban. Why Work More ❯

Jenkins, GitLab CI/CD, CircleCI). Preferred Qualifications Master’s degree in Computer Science, Software Engineering, or related field. Experience with Python-based machine learning libraries is a plus. Experience with data pipelines and Big Data frameworks. Familiarity with Agile methodologies, especially Scrum or Kanban. Why Work More ❯

robust data platforms across multiple cloud providers. Implementation of secure data processing environments for classified information, create automated deployment pipelines for data applications and ML models, and design comprehensive multi-cloud solutions with robust monitoring systems. Leading technical transformation initiatives, working closely with data engineering teams to support their infrastructure More ❯

robust data platforms across multiple cloud providers. Implementation of secure data processing environments for classified information, create automated deployment pipelines for data applications and ML models, and design comprehensive multi-cloud solutions with robust monitoring systems. Leading technical transformation initiatives, working closely with data engineering teams to support their infrastructure More ❯

Python, SQL and JavaScript at minimum. Experience working with knowledge graphs and integrating them with LLMs and data pipelines. An ability to apply appropriate ML and analytics approaches to drive value creation from data. Comfort working within a cloud environment such as AWS or Google Cloud. Experience working with databases More ❯

and tie-ins secured, a large valuation already and top talent on board, this is one not to be missed! You’ll build the ML tools and infrastructure that allow researchers, scientists and pharma clients to deploy and scale foundation models/large medicine models effectively — no SaaS platform, just … world impact. What You’ll Do Work as part of a high performing team of academic, AI and technology specialists to integrate and scale ML models in hybrid environments (on-prem + AWS cloud). Own and improve ML infrastructure: model deployment, training pipelines, inference tooling. Diagnose and optimise performance … of large-scale ML models. Build and maintain experiment tracking, monitoring, and observability systems. Collaborate with SWE and infra colleagues to build tooling for data access, cleaning, and delivery. Contribute to the internal “toolbox” enabling repeatable, scalable ML deployment across client teams. Work closely with researchers and strategy teams to More ❯

teams at my client's company provide critical analysis for various departments, including Commercial, Marketing, Operations, and Product teams. They are committed to continuous learning and staying up-to-date with the latest developments in data analytics. What You'll Need: Expertise in advanced analytics, including AI, machine learning, optimization, simulation, predictive analytics, and advanced statistical techniques. Proven experience in developing and implementing data analysis solutions and strategies. Exceptional problem-solving skills with the ability to break down complex problems and identify key performance drivers. Outstanding communication skills to effectively convey data insights to various functions More ❯

quality, scalable features, including AI-enhanced flows, predictive monitoring tools, and automation capabilities powered by Amazon Bedrock, Amazon SageMaker, and other modern AI/ML frameworks. You’ll work cross-functionally to translate product vision into technical outcomes and help lead the adoption of intelligent systems within our platform. If … database technologies, and other web technologies to develop sophisticated server-side and client-side features. Collaborate on the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly … a team. A keen focus on improving user experience Nice to have: Experience with Integration Platforms. Familiarity with Amazon SageMaker, Amazon Bedrock, or similar ML/AI platforms (or willingness to learn quickly) Exposure to LLMs, vector databases, or embedding techniques Degree in Computer Science or a related field. What More ❯

quality, scalable features, including AI-enhanced flows, predictive monitoring tools, and automation capabilities powered by Amazon Bedrock, Amazon SageMaker, and other modern AI/ML frameworks. You’ll work cross-functionally to translate product vision into technical outcomes and help lead the adoption of intelligent systems within our platform. If … database technologies, and other web technologies to develop sophisticated server-side and client-side features. Collaborate on the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly … a team. A keen focus on improving user experience Nice to have: Experience with Integration Platforms. Familiarity with Amazon SageMaker, Amazon Bedrock, or similar ML/AI platforms (or willingness to learn quickly) Exposure to LLMs, vector databases, or embedding techniques Degree in Computer Science or a related field. What More ❯

Experienced with CI/CD for data workflows, version control (e.g., Git), and automation in data engineering. Desirable: Experience with Apache Spark Familiarity with machine learning frameworks and libraries Understanding of data governance and compliance Strong problem-solving and analytical skills Excellent communication and interpersonal skills Package: Up … to £110K basic salary Hybrid working: 4 days onsite London Learning and development programmes Vitality Health Care Unum Dental Life Assurance & Income Protection Car scheme Cycle to Work Retail discounts More ❯

the adoption AI. Key Responsibilities Lead and mentor a team of data scientists, from mid-level to lead. Identify, prioritise, and deliver high-value ML projects aligned with business goals. Work closely with senior stakeholders to gain buy-in for data-driven strategies. Oversee model deployment, monitoring, and recalibration to … maximise impact. Ensure full adoption of a Google Cloud-based ML Ops platform. Drive education and advocacy for data science across the business. What We’re Looking For Strong experience leading a high-performing data science team. 6+ Years experience A track record of developing and deploying commercially impactful ML … solutions. Proficiency in Python, SQL, and cloud-based ML environments (GCP preferred). Excellent stakeholder management skills—able to bridge technical and business teams. A proactive problem-solver with a passion for AI and innovation. Experience deploying large language models in a business setting. Background in personal lines insurance (health More ❯

powering popular apps used by millions, and helping creators and brands grow through cutting-edge technology. We're looking for an experienced Infrastructure/ML Platform Engineer to join our Machine Learning Platform team . This team builds and supports the platform that powers advanced AI models, helping … into production at scale. 📍 Hybrid role – 3 days onsite in Central London What you’ll do: Design, build, and maintain a scalable and reliable ML serving platform Develop cloud infrastructure and internal tools to support research and engineering teams Set up and manage CI/CD pipelines and monitoring systems More ❯

and evolve the data platform using emerging technologies for performance, scale, and automation. Contribute to strategic planning around real-time data, advanced analytics, and machine learning enablement. Ensure your team delivers to a high standard, on time, and aligned with wider business priorities. Foster a culture of curiosity … capable of engaging both technical and non-technical stakeholders. Bonus Points If You Have: Exposure to streaming frameworks like Kafka or Kinesis. Experience building ML pipelines or supporting data science workflows. Familiarity with containers (Docker/Kubernetes) and infrastructure-as-code (Terraform, CloudFormation). Perks & Culture: This client rewards performance More ❯

data platforms, integration, and cloud architectures Collaborate with product and engineering teams to provide field insights Stay current on industry trends including AI/ML, data engineering, and cloud services Key Requirements: Current SC or DV clearance (essential) Proven experience working with or within the UK Ministry of Defence Strong More ❯

Solid grasp of data security, access control, and compliance principles Exposure to real-time or streaming systems such as Kafka or Kinesis Knowledge of ML infrastructure or working with data for predictive modelling Comfort with infrastructure automation tools like Terraform or Kubernetes If this role interests you and you would More ❯

as React, Next.js, or Vue.js. Implement and maintain backend services and APIs using Node.js, Python (FastAPI, Flask), or similar technologies. Collaborate with AI/ML teams to integrate intelligent features and services into the product stack. Optimize performance, security, and maintainability across frontend and backend components. Lead code reviews, enforce More ❯