326 to 350 of 629 Machine Learning Jobs in Berkshire

you: Will get to work on numerous challenging and exciting projects on our various offerings including Salesforce, AI/Data Science, Generative AI/ML, Automation, Cloud Enterprise and Product/Platform Engineering. At Ascendion you have high chances of project extension or redeployment to other clients. Additionally, you can More ❯

you: Will get to work on numerous challenging and exciting projects on our various offerings including Salesforce, AI/Data Science, Generative AI/ML, Automation, Cloud Enterprise and Product/Platform Engineering. At Ascendion you have high chances of project extension or redeployment to other clients. Additionally, you can More ❯

in gaming or a strong passion for game development. Familiarity with Unity game development and its backend integration. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, etc.). Exposure to automation-focused architecture and delivery. To apply or find out more, please get in touch for a confidential More ❯

environment (B2B a plus) Solid understanding of cloud infrastructure (AWS, GCP), CI/CD workflows, and agile development Interest or experience in AI/ML technologies is a plus Excellent communication skills and a team-first mentality What’s On Offer 💰 Competitive salary - €111,000 + Bonus 🔧 Greenfield projects, modern More ❯

environment (B2B a plus) Solid understanding of cloud infrastructure (AWS, GCP), CI/CD workflows, and agile development Interest or experience in AI/ML technologies is a plus Excellent communication skills and a team-first mentality What’s On Offer 💰 Competitive salary - €111,000 + Bonus 🔧 Greenfield projects, modern More ❯

in creating dashboards and visualizations for decision-making. Required Qualifications: Basic knowledge of Python and/or SQL. Interest in data analytics, statistics, or machine learning. Familiarity with tools like Excel, Pandas, Numpy, or visualization libraries. Strong communication and time management skills. Preferred (Not Mandatory): Previous coursework, projects, or More ❯

in creating dashboards and visualizations for decision-making. Required Qualifications: Basic knowledge of Python and/or SQL. Interest in data analytics, statistics, or machine learning. Familiarity with tools like Excel, Pandas, Numpy, or visualization libraries. Strong communication and time management skills. Preferred (Not Mandatory): Previous coursework, projects, or More ❯

with exposure to data and digital transformation. Degree in Computer Science, Information Technology, Engineering, or a related field. Hands-on experience with AI/ML technologies, including GenAI platforms (e.g. GPT, Claude, Vertex AI, Azure OpenAI). Strong experience in leveraging data and insights, business intelligence, and advanced analytics. Experience More ❯

transfer to scale expertise across the Labs. Minimum Qualifications • Experience: 12+ years in enterprise architecture or software engineering, including significant leadership of AI/ML platform initiatives. • Technical Mastery: Hands-on expertise with Microsoft 365 CoPilot, Copilot Studio, Azure OpenAI Service, Cognitive Services, and Graph APIs. • Multi-Vendor Integration: Proven More ❯

with AWS AI services (e.g., AWS Bedrock, SageMaker Studio, Lambda, EKS ) and/or Azure AI services (e.g., Azure OpenAI, Azure Cognitive Service, Azure ML). Experience with designing, building and operating production grade generative AI systems . Understanding of agent based monitoring systems like Langfuse and Open Telemetry . More ❯

collaboration and support Tech Stack Our client is tech-agnostic and values adaptability. Current tools include: Backend : Python Frontend : TypeScript, React Infrastructure : Kubernetes, GCP Machine Learning : PyTorch, CUDA, Ray What’s on Offer Highly competitive base salary + commission + equity in a hyper-growth company 25 days … world AI use cases with global impact This is a rare opportunity to join a team working on unsolved challenges in AI and deep learning while shaping a fast-growing company from the ground up. More ❯

who are seeking a talented and passionate Software Engineering Manager to lead their high-performing engineering team. This team comprises skilled engineers, including Software, Machine Learning, and Domain experts, who are responsible for the innovation and development of their cutting-edge product. This is a fantastic opportunity for … team members by leveraging individual strengths. Experienced in collaborating with diverse stakeholders. Proficient in: Java/C#, Spring, JavaScript, Elasticsearch, cloud computing (AWS, Azure), ML, GitHub, Jenkins, Linux. Python experience a plus. Balances hands-on work with team delivery. Responsibilities Led and managed a team of 10-12 developers/ More ❯

Salary: £110,000-£130,000 + equity/benefits Location: London - 4 days a week in office Manage and lead a dynamic team of Machine Learning Engineers working on high-impact … computer vision models in the media and gaming space. ROLE AND RESPONSIBILITIES Working closely within a small team of 5, to build and scale ML models focusing on Computer Vision Working alongside technical and non-technical stakeholders Driving the latest innovative research in Engineering, deploying core projects onto their AWS … and manage whilst doing code reviews, reporting into the CTO SKILLS AND EXPERIENCE Required MSc or PhD in STEM related subject + experience in ML Engineering Proficiency in Python, PyTorch, TensorFlow and AWS Then experience in leading projects across Computer Vision Management and leadership experience is required Excellent communication skills More ❯

a team. Responsibilities Design, build and maintain data storage solutions and data pipelines Develop and maintain the data ingestion pipelines (ETL) Develop and maintain Machine Learning powered BI solutions allowing data analytics and visualisation Develop and maintain API endpoints Work closely with Engineering and Product teams to provide … Life Insurance - 5% pension plan matching - cycle to work scheme - weekly online Yoga sessions Great work-life balance - Flexible working options A commitment to learning & development opportunities to support you in realising your potential Altogether this makes Insurwave a fabulous place to work with incredible, friendly and supportive people More ❯

leveraging data to drive decisions. Expertise in consumer experience design, with a deep understanding of user journeys, personalization, and omnichannel marketing. Experience with AI, machine learning, or other advanced technologies used in marketing automation and personalization. 10+ years of experience in working closely and collaboratively with globally distributed … of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. “All aspects of employment at Infosys More ❯

Data Science & AI function Track record or demonstrable experience of putting Gen AI/LLMs into production Technically strong across Data Science techniques and Machine Learning techniques Strong background within developing individuals Stakeholder management and the ability to work across the company Experience working with Product teams effectively. More ❯

ecosystem elements like DeFi, Exchanges, Wallets, Smart Contracts, mixers and privacy services. Databricks and PySpark Analysing blockchain data Building and maintaining data pipelines Deploying machine learning models Use of graph analytics and graph neural networks If this sounds like you then please do reach out and let's More ❯

Partner with researchers and data teams to construct tools that extract, validate, and prepare external data feeds used in commodities research. Use statistical and machine learning methods to support analysis in markets such as agriculture, metals, and energy. Maintain and improve existing tools and processes used by traders More ❯

Experience delivering an AI-powered application (personal or commercial) Comfortable in client-facing scenarios – clear communication is essential A genuine interest in AI and machine learning Bachelor’s degree in Computer Science (or similar) Based in the UK, Denmark or Sweden with the ability to attend on-site More ❯

and Java Hands-on experience with High Frequency Trading (HFT) and designing ultra-low-latency systems Proficiency in statistical modelling, time series analysis, and machine learning techniques Strong communication abilities in explaining your methodologies This is an amazing opportunity to join a leading trading company and generate PnL. More ❯

It’s a friendly, open place where people are motivated because they enjoy what they’re doing. Java Developers MUST have: Computer Science or Machine learning BSc or Masters or PhD from a top 40 University Globally Some commercial Java Development experience; we would consider C++ but core More ❯

Are you an experienced Data Scientist looking for a role leveraging GenAI tech? Have you honed your skills in machine learning and kept a close eye on the transformative potential of generative AI? Imagine a role where your expertise can drive significant change and help shape the future More ❯

in Python, C++, or similar languages used in trading environments. Solid understanding of financial markets, trading systems, and market data. Experience with statistical modeling, machine learning, or signal processing techniques. Ability to work in a fast-paced, collaborative environment with a high degree of autonomy. Excellent problem-solving More ❯

Cloud Architect certification Experience with hybrid or multi-cloud architectures Familiarity with streaming platforms like Apache Kafka or Google Pub/Sub Background in machine learning pipelines and AI integration on GCP Consulting background is a plus. Strong communication skills (oral & written) Rights to work in the UK More ❯

culture of innovation. Technology Development and Implementation: o Oversee the design and implementation of credit risk models and systems. o Integrate advanced analytics and machine learning techniques. Data Management and Integrity: o Ensure the accuracy and reliability of credit risk data. o Maintain and enhance credit risk databases. More ❯