76 to 100 of 611 Machine Learning Jobs in Berkshire

Team: Machine Learning Location: London (Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £60–70k 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 … better understand the underlying quality, structure and distribution of training data. Architect training data validation, integrity and safety mechanisms for state-of-the-art ML models. Co-hire your future colleagues. Work closely with the founding team and contribute towards best practices, standards, and culture of the company. What we … is perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally. Open-source: Contributions to and experience in open More ❯

Machine Learning Engineer (3D, Graphics, VFX) – Globally established entertainment company Salary: £90,000–£110,000 (can stretch to £130,000 for the right person) Location: London (Hybrid – 1–2 days per week in-office) Join a tech-first team modernising the way entertainment is brought to life. Work … across innovative deep learning and exciting projects within the Gen AI, software, 3D and computer vision space. ROLES AND RESPONSIBILITIES Work closely with a high-impact, global team of 4 Gain exposure and work hands-on across deep learning projects, as well as innovative AI (e.g 3D, Computer … Vision, Gen AI etc.) Join a company looking to modernise machine learning applications and AI while still giving control to creatives REQUIREMENTS ✅ 2+ years hands-on experience in deep learning (ideally in computer vision or 3D-related areas) ✅ Strong Python + debugging skills ✅ Experience designing & training models More ❯

Machine Learning Engineer Hybrid Working - 3 days p/w in office (Cannon Street, London) Pays £50k-£70k ML Engineer - Python, scikit-learn, PyTorch, MLOps Oliver Bernard have partnered with an AI driven SaaS platform that are seeking a Mid level Machine Learning Engineer to work … on the core of their platform. You'll be joining a high performing, cross-functional team working end-to-end across their ML platform and will be afforded a considerable amount of autonomy. This platform supports publishing giants such as The Times and The Guardian. ML Engineer - Python, scikit-learn … PyTorch, MLOps Key Skills and Experience: ML frameworks Python TensorFlow, scikit-learn, PyTorch MLOps Kubernetes AWS This role is hybrid working from their offices in Cannon Street, London (3 days p/w). VISA sponsorship is not available from this role. Budget is £50k-£70k + benefits. 4 stage More ❯

expertise with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing them within production systems. You will work closely with cross-functional teams to transform concepts into scalable AI-powered … technical specifications Required Skills & Experience Extensive experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of backend systems, data pipelines … and ETL processes Familiarity with cloud platforms, particularly Microsoft Azure Understanding of microservices architecture and distributed systems Experience with DevOps practices for AI/ML workflows (MLOps) Strong programming skills in Python and related data science libraries Demonstrated ability to work within solution architecture frameworks Other preferred skills Experience with More ❯

to stakeholders. o Collaborate with IT and Data teams to improve data quality and accessibility. • Model Development: o Build and maintain predictive models using machine learning algorithms to identify fraudulent activities. o Test, evaluate, and fine-tune models to improve fraud detection accuracy and reduce false positives. o … analysis, automation, and model development. o Data Visualization Tools: Experience with tools like Metabase, Tableau, Power BI, or similar for creating insightful dashboards. o Machine Learning: Familiarity with machine learning concepts and their application in fraud detection. o Statistical Analysis: Strong foundation in statistics, including experience More ❯

tech start-up on a mission to drive circularity in the fashion and textile industry. We are pioneering AI-powered textile waste sorting, combining machine vision and deep learning to optimise the availability of textiles for closed-loop recycling. We have an established machine learning pipeline … imaging hardware, including illumination systems, hyperspectral near-infrared and RGB cameras. Design and prototype cost-effective and scalable imaging hardware solutions. Support integration of machine learning models with imaging hardware and Edge processing. Work on automation aspects of the textile sorting system. Conduct real world testing and refine … integration. Ensure robust communication between IoT-enabled sorting platforms and data processing systems. Dataset extension including supporting acquisition, training and re-training to optimise machine learning. Collaborate with the technical and wider team to ensure seamless system integration and alignment with customer requirements. Collaboration with external partners and experts More ❯

users, and market research Write detailed product requirements documents (PRDs) and user stories for the development team Work closely with data scientists to understand ML model capabilities and limitations Collaborate with engineers to ensure feasible and scalable implementation of data science solutions Facilitate agile ceremonies including sprint planning, daily stand … track their performance Conduct and contribute to user testing and gather feedback to continuously improve product features Stay current with industry trends in AI, ML, NLP, and PAI/OSINT capabilities Act as the product owner in an agile environment, making prioritization decisions and managing the backlog Communicate product vision … or data products through multiple release cycles Strong understanding of data science, machine learning concepts, and analytics capabilities Experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn, etc.) Experience with MLOps practices (e.g., model deployment, monitoring, retraining workflows) for operationalizing machine learning More ❯

retrieval. Ensure the system's scalability, flexibility, and efficiency to handle large algorithms. Algorithm Development: Develop and implement advanced AI algorithms and models, including machine learning, deep learning, and neural networks. Continuously evaluate and improve these algorithms to enhance system performance and accuracy. Data Integration: Identify relevant … to ensure the quality and relevance of data for AI model training. Model Training and Evaluation: Train AI models using supervised, unsupervised, or reinforcement learning techniques. Implement evaluation methodologies to measure the performance and effectiveness of trained models. Fine-tune models based on feedback and data insights. Neural Network … Design: Design and optimize deep learning neural networks for various AI tasks, such as natural language processing, computer vision, recommendation systems, and predictive analytics. Implement innovative architectures and techniques to improve model accuracy and efficiency. System Integration: Collaborate with software developers and engineers to integrate AI systems into existing More ❯

as this position holds massive future potential for growth. Your role will involve: Developing our web application written in Javascript and NextJS; Implementing backend machine learning and data services, and integrating them with our web application. Suggesting and leading internal tools for our team to use that will … web applications Quantitative degree from a top university The following is DESIRABLE, not essential: Experience with Node.JS to a production level Familiarity with various machine learning APIs An understanding of machine learning techniques Benefits: Making a serious impact from day one. We're an agile company More ❯

MACHINE LEARNING RESEARCHER - Sports Betting/Trading HYBRID - Once per week in London £100,000 - £180,000 + generous benefits … COMPANY: We are working with a successful company focused on building advanced platforms for sports betting analytics and trading. They are looking for an ML/Quant researcher to join the team and drive innovation within the team. The quality of work you will be doing in this role is … predictive power of existing models based on fundamental data. Work closely with the CEO, CTO, and Team Lead to design, test, and implement new ML models. Continually seek to improve existing state-of-the-art solutions. You will be involved in all aspects of the R&D process, from high More ❯

senior engineers and consultants to contribute to proofs of concept, pilots, and production projects Learn and apply best practices in data engineering, AI/ML model integration, and cloud architecture Stay up to date with evolving Azure services and modern AI frameworks (e.g., Azure OpenAI, LangChain, Prompt Flow) Help document … Azure Fundamentals, DP-900, AI-900) is a bonus but not required - DESIRABLE Other Requirements Strong foundational knowledge of Python, data structures, and basic ML/AI concepts - ESSENTIAL Awareness of cloud computing fundamentals, preferably Microsoft Azure - ESSENTIAL Strong problem-solving skills and eagerness to learn new technologies - ESSENTIAL Clear … Data Factory, or Azure OpenAI - DESIRABLE Experience with Jupyter Notebooks, version control (e.g., Git), or working with APIs - DESIRABLE Demonstrated interest in AI/ML through coursework, personal projects, or internships - DESIRABLE CORE COMEPTENCIES & SKILLS: Growth mindset – actively seeks opportunities to learn and improve Team collaboration – works well within delivery More ❯

senior engineers and consultants to contribute to proofs of concept, pilots, and production projects Learn and apply best practices in data engineering, AI/ML model integration, and cloud architecture Stay up to date with evolving Azure services and modern AI frameworks (e.g., Azure OpenAI, LangChain, Prompt Flow) Help document … Azure Fundamentals, DP-900, AI-900) is a bonus but not required - DESIRABLE Other Requirements Strong foundational knowledge of Python, data structures, and basic ML/AI concepts - ESSENTIAL Awareness of cloud computing fundamentals, preferably Microsoft Azure - ESSENTIAL Strong problem-solving skills and eagerness to learn new technologies - ESSENTIAL Clear … Data Factory, or Azure OpenAI - DESIRABLE Experience with Jupyter Notebooks, version control (e.g., Git), or working with APIs - DESIRABLE Demonstrated interest in AI/ML through coursework, personal projects, or internships - DESIRABLE CORE COMEPTENCIES & SKILLS: Growth mindset – actively seeks opportunities to learn and improve Team collaboration – works well within delivery More ❯

Data Scientist – AI & Machine Learning | Azure | London | Contract | Hybrid (3 Days Onsite) We’re hiring a Data Scientist on a contract basis to join our Digital Capabilities and Core Platform team in London. You’ll play a key role in driving the migration of Java applications to the … Azure Cloud while delivering high-performance streaming solutions using machine learning and big data technologies. This is a hybrid contract position running until the end of the year , requiring 3 days per week onsite in London and 2 days remote . Key Responsibilities: Build and implement AI models … Bring: Solid experience in Python, SQL, and statistical data analysis. Proven track record in machine learning and NLP. Familiarity with Azure AI & ML, MLOps workflows, and model deployment. Strong communication and problem-solving skills. Knowledge of GitLab, JIRA, Agile practices, and UNIX environments. Nice to Have: Background in More ❯

and business development teams to identify opportunities for upselling and expanding client engagements. Technical Knowledge Oversee the design and implementation of scalable data pipelines, machine learning models, AI products and advanced analytics … platforms. Stay abreast of industry trends, tools, and technologies to ensure solutions remain cutting-edge and competitive. Ensure adherence to best practices in data , ML, AI and engineering. Experience Required: Educated to degree level in Data Science, Machine Learning, Physics, Chemistry, Engineering, Economics, Computer Science, Mathematics, Statistics, or … architecture, product management, business analysis and ongoing consultancy to ensure client success Strong understanding of a range of technical programming languages and experience in machine learning frameworks, including architectural design and data platforms. Knowledge of cloud platforms (AWS, Azure, or GCP) and data engineering tools (e.g., Spark, Kafka More ❯

influence the technical roadmap, and work directly with experienced founders and a senior engineering team. What you’ll be doing: Designing, building and deploying ML-powered features across a production platform Working across Python and TypeScript , integrating models into scalable, real-time systems Fine-tuning and training NLP models using … best practices from the ground up Collaborating closely with product, engineering, and leadership What we’re looking for: Strong commercial experience building and deploying ML models in production Proficiency in Python and familiarity with TypeScript/JavaScript Experience with NLP or recommendation systems is a bonus Excited by start-ups … impact What’s on offer: £100,000 salary + meaningful equity 4 days/week in a modern London office near Liverpool St Greenfield ML ownership with direct access to founding team A chance to shape the future of an AI product already loved by users More ❯

business, developing state-of-the-art credit risk models to underpin loan and credit card products. You’ll work with rich datasets, deploy advanced machine learning techniques, and collaborate across the business to deliver … best-in-market solutions. This is a hands-on role in a team that self-serves deployments and monitoring, without reliance on a separate ML engineering team. Key Responsibilities Develop proprietary risk models to improve underwriting quality and enhance decision-making. Understand the products, data, and strategies to effectively inform … in Python and machine learning techniques, with a solid understanding of their applications. Knowledge of the credit industry, including products, data, and ML use cases. Strong communication skills and the ability to work effectively within a team. Self-driven, with a proactive approach to leading projects and initiatives. More ❯

focused on building the most advanced, personalised customer experiences in the industry. With a dynamic culture rooted in product innovation, agile methodologies, and continuous learning, this is the ideal environment for experienced data professionals who want to shape next-generation predictive and personalisation systems at scale. About the Role … to take on a key role within a collaborative, forward-thinking Data Science function. Sitting within the personalisation team, you’ll be working alongside machine learning engineers, product stakeholders, and developers to deliver intelligent, customer-facing features starting with personalisation but evolving toward reward systems. This is a … across the platform. Translating business requirements into actionable data science solutions, even when context is limited or requirements are evolving. Working cross-functionally with machine learning engineers, product managers, and other teams to deliver full-lifecycle model implementations. Maintaining and iterating on models post-deployment, taking ownership of More ❯

including Retail, Travel, Financial Services, Telecommunications and Technology. Typical projects include data science for performance improvement, customer engagement and pricing effectiveness, network optimisation, and machine learning to drive improved operations, including supply chain and procurement. I’m seeking Lead Data Science experts who not only bring experience from … data and AI solutions. You will form an integral part of this growing team collaborating closely with other cross-functional teams to deliver innovative machine learning and AI solutions. You will flex strong problem-solving skills leveraging data science skills, directly with clients’ senior leadership teams looking to … the most impactful solution (even if not perfect) in short sprints. Skills & experience required: Educated to at least degree level in a quantitative subject; Machine Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc. Proven experience in leading data science projects across a range of areas required More ❯

part of their Marketing Sciences Data Science Team, you’ll play a pivotal role in revolutionising marketing strategies through cutting-edge Data Science and Machine Learning solutions. This is still a largely hands on role, with around 20% team leadership. What You’ll Do Oversee data science projects … innovation. Build predictive models for campaign optimisation, customer segmentation, and price elasticity. Design and implement AI-powered solutions to solve complex marketing challenges. Use machine learning and statistical techniques to analyse trends and improve business outcomes. Work with cross-functional teams and present insights to technical and non … technical stakeholders. What We’re Looking For A strong academic background in Computer Science, Mathematics, Physics, or a related field. Proven experience in machine learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like More ❯

Join a world-class team using ML and NLP to shape methodical research strategies High-impact role for a recent PhD graduate in a cutting-edge investment research team Work with large-scale data and the latest ML and NLP frameworks Combine academic research with real-world application in a … firm and research-driven team as a Senior Data Scientist. Work at the frontier of data-led investment strategies, using the latest techniques in machine learning, natural language processing, and quantitative modelling. This position blends academic insight with practical application in a collaborative and intellectually stimulating environment. You … to developing and refining systematic investment models. You’ll work hands-on with large and alternative datasets, employing tools like Python, PyTorch, and modern machine learning frameworks to design, test and evolve predictive signals and strategies. Your role will be an exciting mix of theoretical research and practical More ❯

days per week in office Salary: £50,000 - £70,000 Industry: SaaS Tech Stack: Python, scikit-learn, Kubernetes, AWS 👩🏻‍💻 Great opportunity for a talented ML Engineer (Python, scikit-learn, Kubernetes, AWS) to join an AI driven SaaS platform for the publishing industry. The Company 🚀 Market leading business that works with … The Guardian. Their AI driven SaaS platform enables the automation of their social media and email outreach campaigns. The Role ✨ They are seeking a Machine Learning … Engineer (Python, scikit-learn, Kubernetes, AWS) to build out their business-critical platform. You will be expected to work end-to-end across their ML (Python, scikit-learn, Kubernetes, AWS) platform and will be afforded a considerable amount of autonomy. The ideal candidate (Python, scikit-learn, Kubernetes, AWS) will work More ❯

of artificial intelligence solutions to solve complex business problems in the healthcare sector. The ideal candidate will have a strong understanding of AI principles, machine learning algorithms, and natural language processing. Responsibilities: Develop and implement AI solutions to meet business needs Work with data scientists to gather and … analyze data Train and evaluate machine learning models Design and develop natural language processing systems Integrate AI solutions with existing systems Monitor and maintain AI systems Stay up-to-date on the latest AI trends and technologies Job details: Full-time, completely remote 1 year contract, with possibility … Master's degree in computer science, artificial intelligence, or a related field 5+ years of experience in AI development Strong understanding of AI principles, machine learning algorithms, and natural language processing Experience with Python, TensorFlow, and PyTorch Excellent communication and teamwork skills Fluent in English More ❯

largest real-time fraud detection platform to craft solutions for our enterprise customers. About the role: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased … go head-to-head against some of the most motivated attackers in the world to protect billions in revenue. Responsibilities: Scoping, developing, and implementing machine learning or rule-based models following best practice, to banking model governance standards Using your strong knowledge of SQL and Python plus quantitative … machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles to build scalable and standardised workflows and implement effective ML monitoring systems Proven ability to create polished presentations and effectively communicate insights to customers with attention to detail Have extensive multi-tasking and prioritisation skills. More ❯

are looking for a mid-level Data Scientist to join our client's growing team. You will use your skills in data analysis and machine learning to uncover insights, build predictive models, and support decision-making across various projects. You’ll also work closely with engineers, product teams … days holidays Group Life assurance scheme Long Term Disability Scheme Key Responsibilities: Explore large datasets to identify patterns and insights Build and improve machine learning models to solve business problems Design and analyze experiments (A/B testing, etc.) Data Engineering Support Work with data engineers to ensure … to junior team members Requirements: Bachelor’s degree in Data Science, Statistics, Math, or similar 2+ years in data science or analytics Experience building machine learning models and analyzing data Background in designing experiments or solving real-world problems with data Strong coding skills in Python or R More ❯

are looking for a mid-level Data Scientist to join our client's growing team. You will use your skills in data analysis and machine learning to uncover insights, build predictive models, and support decision-making across various projects. You’ll also work closely with engineers, product teams … days holidays Group Life assurance scheme Long Term Disability Scheme Key Responsibilities: Explore large datasets to identify patterns and insights Build and improve machine learning models to solve business problems Design and analyze experiments (A/B testing, etc.) Data Engineering Support Work with data engineers to ensure … to junior team members Requirements: Bachelor’s degree in Data Science, Statistics, Math, or similar 2+ years in data science or analytics Experience building machine learning models and analyzing data Background in designing experiments or solving real-world problems with data Strong coding skills in Python or R More ❯