326 to 350 of 1,773 Machine Learning Jobs in London

The role We are building the sportsbook of tomorrow at Kindred. Machine learning algorithms and AI are at the heart of how we will deliver an unrivalled customer experience and unlock operational efficiencies through automation. Our Data Science (DS) and Machine Learning Engineering (MLE) teams are … Interest and understanding of sports betting, experience in sports risk management. Excellent interpersonal skills, able to explain complex concepts to stakeholders. Strong knowledge of machine learning algorithms and general statistical methodologies and theory. Basic knowledge of AB testing and design of experiment. Advanced Python and SQL skills, experience More ❯

Be Doing: As a Data Scientist, your responsibilities will include: Collecting, analyzing, and interpreting large datasets to solve business challenges. Building predictive models and machine learning algorithms to inform product and business decisions. Collaborating with developers, engineers, and product teams to integrate data-driven solutions. Conducting exploratory data … of experience working in data science or a related field. Proficiency in programming languages like Python, R, or SQL for data manipulation. Experience building machine learning models using libraries like TensorFlow, PyTorch, or scikit-learn. Familiarity with cloud platforms like AWS, GCP, or Azure. Strong written and spoken … Experience: Experience with big data tools (e.g., Hadoop, Spark) and distributed computing. Knowledge of NLP techniques and libraries. Familiarity with Docker, Kubernetes, and deploying machine learning models in production. Experience with visualization tools like Tableau, Power BI, or D3.js. Understanding of A/B testing, statistical analysis, and More ❯

with your desire to win? Data Scientist - Production Level: Manager: Experience: 4+ years Role Overview: The Data Scientist - Production ensures the efficient transition of machine learning models from exploration to production. Working closely with the UDP team, this role is responsible for deploying, maintaining, and evolving AI models … ensure smooth handovers. Key Responsibilities: · Deploy and maintain AI models in production, ensuring efficient refreshes as needed. · Collaborate with the UDP team to integrate machine learning solutions into production workflows. · Represent CCEP in third-party projects, ensuring smooth transitions post-handover. · Monitor model performance and address requests for … for scalable and reliable model deployment. Qualifications: · Master’s degree in Computer Science, Data Science, or a related field. · Experience in deploying and maintaining machine learning models in production environments. · Proficiency in Python, SQL, and cloud platforms (e.g., Databricks, Azure). · Strong understanding of MLOps practices, including CI More ❯

with your desire to win? Data Scientist - Production Level: Manager: Experience: 4+ years Role Overview: The Data Scientist - Production ensures the efficient transition of machine learning models from exploration to production. Working closely with the UDP team, this role is responsible for deploying, maintaining, and evolving AI models … ensure smooth handovers. Key Responsibilities: · Deploy and maintain AI models in production, ensuring efficient refreshes as needed. · Collaborate with the UDP team to integrate machine learning solutions into production workflows. · Represent CCEP in third-party projects, ensuring smooth transitions post-handover. · Monitor model performance and address requests for … for scalable and reliable model deployment. Qualifications: · Master’s degree in Computer Science, Data Science, or a related field. · Experience in deploying and maintaining machine learning models in production environments. · Proficiency in Python, SQL, and cloud platforms (e.g., Databricks, Azure). · Strong understanding of MLOps practices, including CI More ❯

teams on research and development topics across our life sciences, global energy and materials, and advanced industries practices, serving as a data engineer/machine learning engineer in a technology development and delivery capacity. With your expertise in computer science, computer engineering, cloud, and data transformation (ETL & feature … be used for therapeutics, chemicals, and materials (including small molecules, proteins, mRNA, polymers, etc.). Your work will involve delivering distinctive capabilities, data, and machine learning systems through collaboration with client teams, playing a pivotal role in creating and disseminating cutting-edge knowledge and proprietary assets, and building … McKinsey's AI Toolbox, and codify methodologies for future deployment. Collaborating with multi-disciplinary teams, you will ensure the smooth integration of AI/ML solutions across projects, while also coaching and mentoring junior colleagues. Your qualifications and skills Master's degree with 7-8 years of relevant experience or More ❯

Location: Central London - 1 day per week in the office We are currently recruiting a Machine Learning Engineer to join a global publishing company. Producing high-quality educational resources, they are publishing impactful research that has the power to improve society and empower policy makers. The Opportunity This … with people who are passionate about data and its ability to empower and improve lives. Work with cross-functional teams to deliver production level ML/AI solutions. Implement MLOps with a focus on versioning and data security. Champion Machine Learning across the business. Mentor junior members of More ❯

their depth and breadth of experience in applied data science and optimization at industry scale to help guide our Index-wide technology strategy for machine learning and optimization, and to drive pragmatic execution and iterative improvement of the same. In this role you will lead high-impact data … science initiatives that drive innovation and measurable value. You will design and implement advanced machine learning models, lead large-scale projects, and collaborate with cross-functional teams to align solutions with business goals. As a senior technical expert, you will mentor team members, contribute to scaling data science … automated decision making around programmatic exchange optimization Take active part in designing, and driving implementation production performance monitoring frameworks and KPIs Work together with ML engineers and architects to develop production grade data centric solutions An entrepreneurial spirit with room and expectations to bring innovative ideas to address the problems More ❯

at the heart of their business. About the Role We're looking for a Data Science Manager to lead the development and integration of machine learning and advanced analytics solutions that support underwriting, risk selection, pricing, and automation. This role will drive key data science initiatives including algorithmic … to translate data into action and insights. Key Responsibilities Lead the data science function and manage a team of data scientists. Design and deliver machine learning models to improve risk selection and … decision-making. Collaborate with digital trading and actuarial teams to analyse portfolios and refine pricing strategies. Automate and enhance data pipelines using AI and ML techniques. Support the development of strategic data assets and visualisations for underwriters. Work closely with IT and engineering to integrate models into business systems. Define More ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯