426 to 450 of 657 Machine Learning Jobs in Berkshire

AI Engineer | Consumer Tech 📍 London-based | Hybrid (2-3 days a week in office) I'm working with a global leader in lifestyle and concierge services, on a mission to become the most trusted service business in the world. They More ❯

collaboration, and continuous learning within the team. Emerging Technologies: Stay abreast of emerging technologies, tools, and industry trends in data platforms, AI/ML, and big data. Proactively evaluate and recommend new technologies that enhance data capabilities and drive business innovation. Cross-Functional Collaboration: Partner with IT, analytics, and … strategy with short-term execution. Preferred Qualifications: Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, etc.). Experience with AI/ML technologies and data science platforms. Familiarity with DevOps, CI/CD pipelines, and Infrastructure as Code (IaC). What can you expect from Mars? Work … by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. More ❯

dataset creation, cleaning, and augmentation Strong software engineering skills for real-world deployment, particularly on model optimisation for embedded systems Familiarity with the latest machine learning and robotics research … Benefits High competitive salary. 23 calendar days of vacation per year. Flexible working hours. Opportunity to work on the latest technologies in AI/ML, Robotics and others. Startup model, offering a dynamic and innovative work environment. More ❯

and ensure systems are scalable as complexity continues to grow. A PhD or Masters for this role is required, along with previous Python and ML experience. Want to be at the intersection between machine learning and systematic trading? Apply or reach out directly at megan@saragossa.io No up More ❯

at a fast-growing AI startup that’s transforming real estate investment. Their cloud-native SaaS platform blends street-level data, financial modelling, and machine learning to provide investors with smarter, data-driven insights. With a fresh funding round about to be announced, the team (currently 20) is … to support architecture decisions and ensure scalability. What we're looking for: Strong experience with cloud infrastructure (ideally AWS) Proficient in Python Exposure to ML-driven systems Track record of scaling teams and systems in high-growth environments If you're keen to shape the future of a platform that More ❯

at a fast-growing AI startup that’s transforming real estate investment. Their cloud-native SaaS platform blends street-level data, financial modelling, and machine learning to provide investors with smarter, data-driven insights. With a fresh funding round about to be announced, the team (currently 20) is … to support architecture decisions and ensure scalability. What we're looking for: Strong experience with cloud infrastructure (ideally AWS) Proficient in Python Exposure to ML-driven systems Track record of scaling teams and systems in high-growth environments If you're keen to shape the future of a platform that More ❯

use. Ideally we would like someone who has worked for a product lead, technology business who have had an emphasis on using Data Science, Machine Learning and AI to drive that. This isn't a traditional lead, you will take charge of a team of up to four … Python. The team are a highly talented bunch, who constantly drive to innovate. Benefits 28 days holiday + bank holidays Private medical Share options Learning & development budgets Monthly socials WeWork office space for those days you do go in Top spec equipment More ❯

bring underwriting excellence. After 6 years of existence, Descartes has secured a leading position in parametric insurance for weather and climate-related risks utilizing machine learning, real-time monitoring from satellite imagery & IoT. After a successful Series B raise of $120M USD, we launched Descartes Insurance, a 'full … most prestigious schools and research labs in the world, allowing you to progress towards technical excellence; Commitment from Descartes to its staff of continued learning and development (think annual seminars, training etc.); Work in a collaborative & professional environment; Be part of an international team, passionate about diversity; Join a More ❯

join a business where you can take part in additional projects that will allow you to scope out additional skills in data engineering, AI, Machine Learning and Power BI. Perfect for personal development! If you have a strong desire to work in a smaller team and develop in More ❯

join a business where you can take part in additional projects that will allow you to scope out additional skills in data engineering, AI, Machine Learning and Power BI. Perfect for personal development! If you have a strong desire to work in a smaller team and develop in More ❯

earning potential and job security. Flexible working opportunities within the industry. Platform to enter other career paths including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking, and DevOps. More ❯

management A background as a Data Scientist within a Product Led business E-commerce/Marketplace experience as a plus Still technically adept with Machine Learning & the Data Science tool kit although this role is more commercial If this Data Science Manager role sounds like you, please do More ❯

expertise in mid-frequency Futures strategies or comparable asset classes. Extensive proficiency in programming languages such as Python, C++, or Java. Deep expertise in machine learning techniques and tools, with a focus on their application in strategy development and optimisation. This position offers an exceptional opportunity for a More ❯

in an analytically rigorous role within a financial services environment. Proven experience in credit risk, affordability assessment, and fraud analytics. Hands-on knowledge of machine learning and data science techniques to enhance decisioning. Strong grasp of the regulatory landscape, particularly around responsible lending. A collaborative mindset with a More ❯

background in optimization, sensor fusion & numerical linear algebra Experience deploying SLAM in industrial or embedded environments Proficient in modern C++ development Preferred Familiarity with machine learning for semantic/geometric inference. Experience in GPU computing, e.g. Vulkan, CUDA, OpenCL or Metal Exposure to embedded systems development. Feel free More ❯

ownership mentality, and ability to navigate ambiguity. Passion for working on impactful, real-world problems. Strong collaboration skills, working closely with product, engineering, and machine learning teams. Ambition to grow within the company and take on increasing responsibility as the business expands. If you're interested in hearing More ❯

D and GTM. Experience of technologies such as VR, AR, motion capture, spatial computing, computer vision, or a closely related technology which may include machine learning and/or AI/Generative AI. Desire to work in fast pace and evolving environments. Ability to travel to company offices More ❯

to a product-based model to develop digital capabilities. Responsibilities include developing and maintaining robust data pipelines and storage solutions to support analytics and machine learning initiatives. You will report to the Director of Data Engineering Solutions and collaborate globally with engineering teams across core products. Key Responsibilities More ❯

looking for: At least two years of experience leading a data science or credit risk modelling team A solid background in statistical modelling and machine learning Hands-on coding skills – we use Python, SQL and a bit of SAS Experience building models for unsecured consumer lending or a More ❯

data technologies (Spark, Hadoop) • Exposure to microservices/APIs for data delivery • AWS certifications (e.g. Solutions Architect, Big Data Specialty) • Interest or background in Machine Learning This is an excellent opportunity for a data engineer ready to lead technically, engage with high-profile clients, and shape the delivery More ❯

with at least five years leading AI-focused initiatives A proven ability to build and scale AI solutions within complex organizations Deep knowledge of machine learning, natural language processing, and emerging AI technologies Strong leadership skills with experience managing teams of engineers, data scientists, and business professionals A More ❯

focused on transforming how data is extracted, analyzed, and utilized in private markets—including private equity, venture capital, and real estate. We leverage advanced machine learning techniques to automate data capture from complex unstructured documents, powering smarter workflows for institutional investors, fund managers, and administrators. Founded in More ❯

PE and Investment Banking at blue-chip financial institutions such as AEA Investors, Citigroup, and Deutsche Bank. Our CTO, Callum, is an expert in Machine Learning and AI, having worked at leading defence companies like QinetiQ, and retail tech startups such as Standard AI. The Role As a More ❯

and build tooling to ensure successful use of Nscale’s training, fine-tuning, and inference APIs. Requirements 5+ years of experience building and deploying machine learning systems in production environments. Proficiency in Python and PyTorch, with a strong understanding of transformer architectures, LLMs, and multimodal generative models. Expertise More ❯

and build tooling to ensure successful use of Nscale’s training, fine-tuning, and inference APIs. Requirements 5+ years of experience building and deploying machine learning systems in production environments. Proficiency in Python and PyTorch, with a strong understanding of transformer architectures, LLMs, and multimodal generative models. Expertise More ❯