351 to 375 of 1,891 Machine Learning Jobs in London

organizations by offering comprehensive data and analytics tools. ROLE: Lead the development of data science models, integrating them into product features. Optimize and deploy machine learning models, ensuring performance and scalability. Monitor and improve model performance post-deployment. Collaborate with product teams to define key metrics and analyze … a culture of knowledge sharing and innovation. REQUIREMENTS: 3+ years of experience in data science or a related field. Proven experience developing and deploying machine learning models in production. Strong programming skills in Python and SQL. Proficiency with data visualization tools (e.g., Tableau, Power BI, matplotlib) and cloud … platforms (preferably AWS). Expertise in statistics and machine learning frameworks (e.g., PyTorch, scikit-learn). Familiarity with Git and collaborative workflows, such as pull requests and code reviews. Experience in product experimentation, including A/B testing. Strong problem-solving skills and the ability to translate data More ❯

DESCRIPTION The Digital Acceleration (DA) team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms for solving Digital businesses problems. Key Job Responsibilities Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML. Collaborate … Experience building machine learning models or developing algorithms for business application. PhD, or a Master's degree and experience in CS, CE, ML or related field. Knowledge of programming languages such as C/C++, Python, Java or Perl. Experience in any of the following areas: algorithms and … structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. Proficiency in coding and software development, with a strong focus on machine learning frameworks. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. Excellent communication More ❯

their central London office, the Director of Software Engineering will be responsible for the overall software development strategy and execution, with a focus on Machine Learning projects. This role would be well suited to an experienced Head of Engineering with experience managing a small team and a strong … Bachelors degree in Computer Science or related field Experience in a leadership role within a software engineering environment Track record of developing and delivering Machine Learning projects Excellent knowledge of sports data services within the sports betting industry Strong problem-solving and analytical skills Excellent communication and interpersonal … rust, javascript/typescript, github/gitlab, django, mongodb (or other nosql), mysql/postgres, react/react-native, Node.js, wordpress, tensorflow, jupyter, colab, ML feature stores, dashboards, monitoring More ❯

a top Russell Group university to join our dynamic team. This role is ideal for a candidate with a strong academic background in AI, machine learning, or data science, combined with a keen understanding of real-world business applications. You will play a crucial role in leveraging AI … functional teams to identify opportunities where AI can add value. Analyse complex datasets to extract insights and drive strategic recommendations. Support the deployment of machine learning models, ensuring they align with business objectives. Research and experiment with emerging AI technologies to enhance company capabilities. Communicate technical concepts effectively … compliance with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for More ❯

Senior Data Scientist, you’ll be joining a collaborative and innovation-focused environment where you’ll help solve complex problems using modern AI and machine learning techniques. You’ll work on designing intelligent systems that uncover hidden signals in data and influence how assets are allocated. What you … AI models to support next-gen sustainable investment strategies. You’ll build real-time data pipelines, mine alternative and unstructured datasets, and apply advanced machine learning techniques to surface insights that drive portfolio construction. What experience you’ll need to apply: PhD (or equivalent experience) in Computer Science … Quantitative Finance, or related fields Deep experience with machine learning, NLP, and data mining (especially from unstructured or alternative sources) Strong coding ability in Python; familiarity with cloud environments and scalable data platforms Experience with data pipeline tools (e.g. Kafka, SQL, DevOps, microservices) Prior publications, patents or research More ❯

Senior Data Scientist, you’ll be joining a collaborative and innovation-focused environment where you’ll help solve complex problems using modern AI and machine learning techniques. You’ll work on designing intelligent systems that uncover hidden signals in data and influence how assets are allocated. What you … AI models to support next-gen sustainable investment strategies. You’ll build real-time data pipelines, mine alternative and unstructured datasets, and apply advanced machine learning techniques to surface insights that drive portfolio construction. What experience you’ll need to apply: PhD (or equivalent experience) in Computer Science … Quantitative Finance, or related fields Deep experience with machine learning, NLP, and data mining (especially from unstructured or alternative sources) Strong coding ability in Python; familiarity with cloud environments and scalable data platforms Experience with data pipeline tools (e.g. Kafka, SQL, DevOps, microservices) Prior publications, patents or research 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 ❯

excellence. As a Lead Data Scientist, you will play a pivotal role in shaping our data science function, ensuring we deliver best-in-class machine learning, optimisation, advanced & predictive analytics, and experimentation & measurement solutions. This is a unique opportunity to take ownership of our data science efforts, influence … and data-related projects are delivered effectively and drive meaningful results. About you: You are an experienced data scientist with a strong background in machine learning, statistical modelling, and optimisation techniques. You thrive in fast-paced environments and have a proven track record of delivering data-driven solutions … etc.), SQL, and cloud platforms such as GCP or AWS. Have experience working with modern databases like BigQuery, Snowflake, or Redshift. Have successfully deployed machine learning models or optimisation algorithms in production environments. Have a solid understanding of digital marketing and marketing analytics, including platforms like Google Ads More ❯

excellence. As a Lead Data Scientist, you will play a pivotal role in shaping our data science function, ensuring we deliver best-in-class machine learning, optimisation, advanced & predictive analytics, and experimentation & measurement solutions. This is a unique opportunity to take ownership of our data science efforts, influence … and data-related projects are delivered effectively and drive meaningful results. About you: You are an experienced data scientist with a strong background in machine learning, statistical modelling, and optimisation techniques. You thrive in fast-paced environments and have a proven track record of delivering data-driven solutions … etc.), SQL, and cloud platforms such as GCP or AWS. Have experience working with modern databases like BigQuery, Snowflake, or Redshift. Have successfully deployed machine learning models or optimisation algorithms in production environments. Have a solid understanding of digital marketing and marketing analytics, including platforms like Google Ads More ❯

Understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort and time for repeated use. To manage the implementation and adherence to … validation and communication of innovative exploratory analyses and algorithms, to facilitate internal decision making. You will provide technical expertise in data science and (predictive) machine learning/AI to identify opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy. You will … experience in clinical drug development with extensive exposure to clinical trials. Strong knowledge and understanding of statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical trials. 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 ❯

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 ❯

of big data technologies to produce complex behavioural models, customer uptake product analysis, and new product innovation. Provide data-driven analysis via statistical, quantitative, machine learning, programmatic, and heuristic methods. Relate statistical and other analytical results to real-world problems and explain the results to non-technical clients … it takes to discern the hidden patterns and signals within the markets. Company: OPUS (Rec.) Qualifications: Useful skills to possess: - Commercial data science experience - Machine learning - SQL - MSc or PhD preferred in either of the following areas: statistics, physics, mathematics, Computer Science, or Engineering - Creating customer segmentation models More ❯

join our early-stage team. Will you be the one? Job Description This role offers an opportunity to apply your expertise in data science, machine learning, and statistical modeling to oncology-focused target identification and drug discovery . You will work with diverse datasets, from different sources including … Target and Drug Discovery and Precision Medicine R&D teams on a number of exciting projects at Pear Bio. Job Responsibilities Develop and implement machine learning and statistical models for target discovery, drug development and patient response prediction. Collaborate with wet-lab scientists to design experiments and analyze … and therapeutic targets. Present findings in internal meetings and contribute to scientific publications and conferences. Stay up to date with advancements in computational oncology, machine learning, and data science methodologies. Manage multiple projects simultaneously and ensure timely, high-quality deliverables. Must-Haves: MSc/PhD in data science More ❯

join our early-stage team. Will you be the one? Job Description This role offers an opportunity to apply your expertise in data science, machine learning, and statistical modeling to oncology-focused target identification and drug discovery . You will work with diverse datasets, from different sources including … Target and Drug Discovery and Precision Medicine R&D teams on a number of exciting projects at Pear Bio. Job Responsibilities Develop and implement machine learning and statistical models for target discovery, drug development and patient response prediction. Collaborate with wet-lab scientists to design experiments and analyze … and therapeutic targets. Present findings in internal meetings and contribute to scientific publications and conferences. Stay up to date with advancements in computational oncology, machine learning, and data science methodologies. Manage multiple projects simultaneously and ensure timely, high-quality deliverables. Must-Haves: MSc/PhD in data science More ❯

it's a mission. The role is for an experienced data scientist to provide technical delivery and subject matter expertise in data science and machine learning across domains relevant to our customers' missions. This technical role requires a detailed knowledge of a broad range of methods and technologies … with opportunities to work across analytics, data fusion and visualisation, data science, data engineering, machine learning and artificial intelligence - and technical leadership of project teams. Our UK Cyber & Intelligence business combines modern software development approaches with a rich heritage and experience in the Defence and security sectors. Our … authority and reviewer for a data science work package, providing technical guidance to more junior data scientists advising on the appropriate data science and machine learning methods and tools, standards and best practice Act as a formal customer technical point of contact and understand customer expectations to ensure More ❯

Signal is looking for a specialist in Information Retrieval, Natural Language Processing, or Machine Learning who can help develop the technology needed to drive our new information service. Signal is creating a product that allows our clients to receive a feed of information based on very specific and … diverse functional backgrounds (mainly developers and researchers) that work closely together to bring this project forward. We combine technology from several research fields, including machine learning, natural language processing, and information retrieval. We also work in close collaboration with several universities and encourage the publication of research results … environment. Company: Signal Qualifications: Essential skills and qualifications: MSc or PhD in a field related to Text Analytics (e.g., natural language processing, information retrieval, machine learning, or similar), or equivalent commercial experience; Detailed knowledge of one or more of the following fields: Entity Recognition and Disambiguation Concept/ More ❯

Job Title: Senior Data Scientist (AI & ML) Location: London hybrid Salary: £80-90K + Equity About the Company: A super interesting start-up that is on a mission to take on some of the most complex challenges in the field of predictive models, fraud detection, and AI-powered insights. … rolling up your sleeves and executing. This role is ideal for an individual who excels at building, optimising, and deploying machine learning (ML) models, and enjoys working with large datasets and cutting-edge technologies. You’ll be responsible for: Building and optimising machine learning models using … About You: You have experience as a Data Scientist, preferably at a start-up or fast-growing company You have a deep understanding of ML, NLP, graph databases, and predictive modeling You can work independently and enjoy taking ownership of your projects You’re not just a theorist, you can 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 ❯

understanding and predicting customer behaviour. They will also work on turning these analyses into actionable insights which the business can use. Main Responsibilities Building Machine Learning models that provide insight into customers and helps the business predict customer behaviour around scheme misuse, EV transition and affordability. These models … meeting ad hoc requests for customer insights from the rest of the business. About You The ideal person will have: Strong experience in building Machine Learning models and applying Data Science techniques using python. Strong data manipulation and statistical analysis experience gained through experience working in various industries. … criteria You'll need all of these: Educated to a degree standard, ideally in applied statistics/Data Science/Mathematics. Strong experience using machine learning to solve business problems involving both structured and unstructured data. Experience of working with cloud-based data stores such as Snowflake and More ❯

and critical business problems from a variety of stakeholders and business functions, formulate integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort and time for repeated use. To … validation and communication of innovative exploratory analyses and algorithms, to facilitate internal decision making. You will provide technical expertise in data science and (predictive) machine learning/AI to identify opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy. You will … experience in clinical drug development with extensive exposure to clinical trials. Strong knowledge and understanding of statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical trials. More ❯

discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on … an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are … skills in handling biological data. Ability to work effectively in interdisciplinary teams. Desirable knowledge or experiences Experience with single-cell data analysis. Familiarity with machine learning techniques in biological contexts. Personally, you are Inclusive leader and team player. Clear communicator. Driven by impact. Humble and hungry to learn. More ❯

Enhanced parental leave policies • Annual performance-based bonus • Budget for personal development and certifications About the Role: Our finance client is seeking a talented Machine Learning Engineer NLP Specialist to join their dynamic AI team. You will play a key role in designing and implementing advanced Natural Language … Hands-on experience working with Large Language Models (LLMs) and deploying them in production. • Advanced Python skills, with the ability to develop and optimise machine learning pipelines. • Experience working with large, unstructured datasets and designing scalable workflows. • Familiarity with Azure AI, AWS, or Google Cloud for AI deployment. More ❯

Operations Manager, Visual Annotation Services The Visual Annotation Services team within Amazon Fashion Tech powers new products that deliver various CXs, using ML/AI to the fashion domain. Our team of Fashion Specialists provide high-quality labeled fashion data at high-speed and low-cost for Machine Learning (ML) and Computer Vision (CV) technologies, enabling delightful customer experiences. We partner with product and science teams to support launching new customer-facing fashion experiences and assist them throughout the product lifecycle. We're the team that thrives in a start-up like environment where flexibility, teamwork and ability … that's building innovative new experiences that will change customers' lives. Amazon Fashion is revolutionizing how customers shop and buy clothing. Our business uses machine learning technology and stylist intuition to give great personalized recommendations based on customer preferences. If you are ready to work hard and engage More ❯

Software engineer – AI/Machine Learning – London - £100,000 per annum + equity Software engineer is required to join an incredibly exciting AI scaleup which empowers creatives to match with top tier companies. The company have already become profitable in their first year and are about to go … a significant round of investment to really scale their product offering. They are looking for a software engineer with experience within the AI/Machine learning to come on board in this exciting phase as they look to take their product to market after a very successful beta … long as you are happy to work within their stack but they need someone who has commercial experience working with AI and in particular Machine Learning. In this role you will be working across Image matching, large language models and leveraging and understanding their data structures. The position can More ❯