501 to 525 of 3,216 Machine Learning Jobs in England

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 ❯

be to: . Collaborate with stakeholders and business users to gather and document business requirements for data warehouses and analytical and predictive models using machine learning and artificial intelligence. . Advise users and stakeholders on best practice for designing reporting and analytical solutions. . Translate business requirements into … principles. . Conduct data analysis and profiling to identify gaps, inconsistencies, and quality issues in existing data sources. . Interact with the data science, machine learning and data engineering teams to design solutions, ensuring optimal performance, data integrity, and scalability. . Guide user acceptance testing and provide support … during the implementation and deployment of solutions You'll have: .Experience working on machine AI projects . Experience translating user requirements structured documentation that can be used by solution architects and machine learning engineers. . Knowledge of current artificial intelligence applications and capabilities. . Experience working in More ❯

to explore new opportunities for us and influence global retailers. Joining our team, you'll work with world class and passionate people to apply machine learning, statistical, optimisation and econometric methods to business problems. You'll contribute to the research and implementation of new approaches to address complex … with significant business impact Performing exploratory data analysis and model validation What we expect from you Master's degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field Strong mathematical and statistical skills Experience with Python, Spark and SQL Experience implementing and validating … a range of machine learning and optimization techniques Effective scientific communication for varied audiences Autonomy and ownership of projects Good understanding of software engineering principles and best practices What you can expect from us We won't just meet your expectations. We'll defy them. You'll enjoy 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 ❯

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 ❯

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 ❯

a high-growth, innovation-led software company delivers full-stack development solutions across a wide range of sectors, with a strong focus on AI, machine learning, and image recognition technologies. Known for outperforming larger competitors, the company is agile, fast-moving, and highly adaptable to client needs. The … including daily stand-ups and sprints Conducting code reviews and mentoring junior developers Staying up to date with emerging tech, especially in AI and machine learning Candidate Requirements: Proven experience with Microsoft .NET Core, Web API, C#, and C++ Hands-on knowledge of Azure DevOps, Kubernetes, and Microsoft … SQL Server Strong full-stack development skills (front-end and back-end) A keen interest in or prior experience with AI, machine learning, and recognition technologies Excellent problem-solving, communication, and collaboration skills Ability to work independently and manage time effectively Confident communicator What the Company Offers: Hybrid More ❯

novel models/solutions to help that client and communicate clearly with them the solution you have found, this combined with strong analytics/machine learning skills and a base understanding of engineering principles is the core of the role. This role will focus on you being the … POC for major clients combined with technical leadership of the wider team across various projects. Key Skills Excellent knowledge of Python and the supporting machine learning and analytics tools Happy in a client facing capacity and able to relay complex solutions simply to the clients needs Experience managing … client relationships, projects and technical teams essential Experience of deep analysis gaining actionable insight from often unstructured large datasets Experience working with machine learning models. Experience with mainstream cloud platforms such as AWS, Azure, or GCP preferred An understanding of CI/CD pipelines, Docker and associated orchestration More ❯

novel models/solutions to help that client and communicate clearly with them the solution you have found, this combined with strong analytics/machine learning skills and a base understanding of engineering principles is the core of the role. This role will focus on you being the … POC for major clients combined with technical leadership of the wider team across various projects. Key Skills Excellent knowledge of Python and the supporting machine learning and analytics tools Happy in a client facing capacity and able to relay complex solutions simply to the clients needs Experience managing … client relationships, projects and technical teams essential Experience of deep analysis gaining actionable insight from often unstructured large datasets Experience working with machine learning models. Experience with mainstream cloud platforms such as AWS, Azure, or GCP preferred An understanding of CI/CD pipelines, Docker and associated orchestration 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 ❯

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 ❯

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 ❯

to explore new opportunities for us and influence global retailers. Joining our team, you'll work with world class and passionate people to apply machine learning, statistical, optimisation and econometric methods to business problems. You'll contribute to the research and implementation of new approaches to address complex … with significant business impact Performing exploratory data analysis and model validation What we expect from you Master's degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field Strong mathematical and statistical skills Experience with Python, Spark, and SQL Experience implementing and validating … a range of machine learning and optimization techniques Effective scientific communication for varied audiences Autonomy and ownership of projects Good understanding of software engineering principles and best practices What you can expect from us We won't just meet your expectations. We'll defy them. So you'll More ❯

Collaborate with hardware engineers to integrate software & hardware components seamlessly. Optimise software performance through advanced techniques in low-level programming & compiler design. Develop & maintain machine learning frameworks & tools to leverage the full potential of the TPU. Conduct code reviews, provide technical mentorship, & guide other team members in best … practices. Stay current with industry trends & advancements in GPU technologies, machine learning, & optical computing. Lead & participate in the development of technical documentation & specifications. Drive innovation & contribute to the strategic direction of the software engineering team. Skills & Experience 5+ years of experience in software engineering with a focus on … C & C++ programming. Extensive experience in compilers, low-level programming, & optimisation techniques. Proven expertise in machine learning & its applications in high-performance computing. Strong problem-solving skills & the ability to think critically & creatively. Experience in high-pace, dynamic work environments. Bachelor's degree in computer science, electrical engineering More ❯

Collaborate with hardware engineers to integrate software & hardware components seamlessly. Optimise software performance through advanced techniques in low-level programming & compiler design. Develop & maintain machine learning frameworks & tools to leverage the full potential of the TPU. Conduct code reviews, provide technical mentorship, & guide other team members in best … practices. Stay current with industry trends & advancements in GPU technologies, machine learning, & optical computing. Lead & participate in the development of technical documentation & specifications. Drive innovation & contribute to the strategic direction of the software engineering team. Skills & Experience 5+ years of experience in software engineering with a focus on … C & C++ programming. Extensive experience in compilers, low-level programming, & optimisation techniques. Proven expertise in machine learning & its applications in high-performance computing. Strong problem-solving skills & the ability to think critically & creatively. Experience in high-pace, dynamic work environments. Bachelor's degree in computer science, electrical engineering More ❯

data products that power critical business capabilities. You'll have the opportunity to work with leading technologies in cloud computing, big data processing, and machine learning infrastructure, while contributing to the development of robust data governance frameworks. If you're passionate about solving complex technical challenges in high … that safeguard sensitive information. - Drive the implementation of data solutions, both real-time and batch, optimizing them for both analytical workloads and AI/ML applications. - Lead technical design reviews and provide mentorship on data engineering best practices, identifying opportunities for architectural improvements and guiding the implementation of enhanced solutions. … process of defining, building, implementing, and monitoring a comprehensive data strategy. We also develop and apply Generative Artificial Intelligence (GenAI), Machine Learning (ML), Ontology, and Natural Language Processing (NLP) to customer and associate experiences. BASIC QUALIFICATIONS - 3+ years of data engineering experience - Bachelor's degree in Computer Science 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 ❯

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 ❯

technologist who possesses a unique balance of business knowledge, effective interpersonal skills, and some technological depth in the following areas: analytics/big data, machine learning and generative artificial intelligence and have experience with startups. As a GenAI strategist you will help outline and scope startup technical and … be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career … BASIC QUALIFICATIONS - Bachelor's degree in business, computer science or related field - Professional experience, including prior work with startups - Technology domain experience in LLM, Machine Learning, AI, and GenAI - Experience adopting GenAI solutions, tooling or applications - Experience in management consulting or related advisory type of work PREFERRED QUALIFICATIONS 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 ❯