151 to 175 of 203 Machine Learning Jobs in Berkshire

role in driving our commercial growth. You will own the entire sales cycle from prospecting and discovery through to closing. You will engage directly with technical buyers such as ML Engineers, CTOs, and Product Leads who already recognize and value our products. Your mission is to convert that recognition into revenue and long-term partnerships. Your key responsibilities include: Leading … within a startup or scale-up under 50 employees. Proven track record of outbound sales success, including building pipeline from scratch. Experience selling to technical personas such as CTOs, ML Engineers, and Product Leads. Strong adaptability, creativity, and bias for action. Entrepreneurial mindset with comfort operating in fast-changing, high-growth environments. ✨ Nice-to-Haves Background in AI, Machine Learning, or Vision AI technologies. Familiarity with YOLO or other open-source developer ecosystems. Experience closing high-value enterprise deals of $100,000 or more. Exposure to international markets and global sales. Hands-on experience with HubSpot or Clay. ⚙️ Hiring Process Initial Screen Case Study Final Interview 🌟 Culture and Environment At Ultralytics, you will join a team of More ❯

tech. Focusing on really exciting and rapidly expanding technology markets including AI, where AI adoption among large companies as grown by nearly 50% since 2018. As well as that; machine learning and data across both the UK and US. Founded by the MD of a world-renowned tech recruitment agency. You would be joining a fresh team with … Industry leading commission scheme - up to 40% commission and no limit on what you can earn A full Career development programme, clear and structured up to director level Onsite Learning and Development Manager focussed on training support Incentive Ski trips to the Alps and holidays to Las Vegas and Barbados! Monthly and Quarterly lunch Clubs to Michelin Starred restaurants More ❯

with the mission to drive AI transformation across the global online Gambling Industry. As a tech-driven AI startup, we are at the forefront of cutting-edge technology, leveraging Machine Learning, Generative AI, and real-time data analysis to create impactful autonomous AI driven Marketing & Content solutions. If you’re passionate about innovation and thrive on ambitious goals … Purpose : We are pioneers, we embrace the challenge of breaking boundaries and pursue innovation that step-changes success. Our passion for innovation drives us to develop cutting edge AI & ML solutions that will deliver the next generation of operator. · Empowerment : We believe in the power of the individual and support our people to challenge, test and be bold – We also More ❯

Fantastic opportunity for a highly analytical and consultative CSM who enjoys driving actionable insights with enterprise brands. The Company Highly sophisticated machine learning customer insights and automation Backed by $100m+ in funding 2 out of 3 managers promoted from within Trusted by global leaders in eCommerce & gaming Offices in New York, London & more 500+ employees + world-class More ❯

of the most experienced leaders in the field. Responsibilities: Develop and maintain data pipelines and ETL processes Analyse client challenges and design tailored solutions Collaborate on implementing AI and machine learning models Serve as a point of contact, providing consultative guidance and support Requirements: Proven programming skills in Python and JavaScript Familiarity with Palantir is a plus Excellent More ❯

growth global scale up in the Advertising Tech space, helping brands deliver smarter, more effective video advertising across channels like YouTube, CTV and In App. Via AI and advanced machine learning, they are able to contextually target with precision allowing advertisers to reduce media wastage, increase ROAS and stay brand safe. The Role Manage day-to-day communications More ❯

growth global scale up in the Advertising Tech space, helping brands deliver smarter, more effective video advertising across channels like YouTube, CTV and In App. Via AI and advanced machine learning, they are able to contextually target with precision allowing advertisers to reduce media wastage, increase ROAS and stay brand safe. The Role Lead the charge on net More ❯

a tangible impact. Their platform intelligently shifts energy use to when electricity is cleaner and cheaper , controlling EV charging, heating systems, and home batteries . Behind the scenes, their machine learning models forecast demand and manage tens of thousands of energy assets in real time . Backed by top investors and growing fast, this is a rare chance More ❯

data-driven solutions across cloud and/or on-premise environments. Cloud & DevOps Skills – Familiarity with at least one major cloud provider and knowledge of DevOps best practices. AI & Machine Learning Knowledge – Practical experience building solutions with modern AI tools and frameworks. Client-Facing Mindset – Confidence working with both technical teams and business stakeholders. Architecture & Delivery Skills – Ability More ❯

an Australian Scale-up organisation that has an enterprise Customer Experience (CX) platform (SaaS). Our Voice of Customer and Voice of Employee platform leverages the latest technology including machine learning, text analytics, and data visualizations to help close the loop faster and deliver actionable insights to leading companies. Resonate has a range of flagship customers and rapidly More ❯

at the forefront of low-latency systems and AI infrastructure? You’ll play a key role in designing and maintaining the open-source proprietary technology that powers large scale ML and AI workloads. This firm invests heavily in engineering, giving its Linux and systems specialists an unrestricted technology budget to innovate across performance critical environments. Responsibilities: Design, develop, and monitor More ❯

digital/IT transformation with 2+ years’ deal exposure. Experience of IT M&A is essential. Tech specialism in one or more: ERP, business apps, digital strategy, AI/ML, cybersecurity, infrastructure, networks, etc. Client leadership: able to build trust with senior stakeholders and thrive in ambiguity. In return you will have a faster career path, no audit channel, higher More ❯

startup or are really drawn to the zero-to-one phase) Value working with people who are kind, ambitious, and pragmatic Have an interest in infrastructure for AI/ML (direct experience is a bonus, but not required) Thrive in a fast-paced environment with evolving requirements and shifting priorities About the opportunity We are living in the most exciting More ❯

in Data Engineering or Data Platform development Experience working with First-Party Data Strong SQL and Python fluency (data transformations, orchestration, automation) Expertise in data modelling (dimensional, event-based, ML-aligned) Experience with helping to build ML models and orchestrating into production Familiarity with cloud ecosystems - Azure, AWS, or GCP Experience with CI/CD tools (Azure DevOps, GitHub Actions More ❯

you’ll do Build responsive, high-performance web UIs that make complex scientific data explorable and engaging. Lead frontend architecture, shaping reusable component libraries and design systems. Collaborate with machine learning researchers, engineers, and biologists to translate cutting-edge science into intuitive digital tools. Push the limits of frontend performance, accessibility, and interactivity. Write and maintain comprehensive unit More ❯

globally. The software enables specialty insurers to model future floods, wildfires, tropical cyclones, and more. The BirdsEyeView technology ecosystem includes a massive climate data infrastructure, scalable product development, and machine learning data cleansing and ingestion. By combining all these factors, BirdsEyeView helps underwriters assess their exposures to growing climate-change-induced natural catastrophes. About the role You will More ❯

Comfortable with repetitive tasks Basic computer literacy (spreadsheets, annotation tools) Reliability to commit to office-based work, Mon–Fri Perks & Benefits Paid lunch Hands-on experience in AI/ML Be part of a growing startup with direct impact More ❯

What you’ll do: Drive product strategy for their real-time demand response platform Partner with users, engineers, and leadership to shape the roadmap Ship rapid iterations across optimisation, ML, and infrastructure If you’re a PM who’s passionate about climate, data, and building from 0→1 , this is the kind of role that lets you make impact at More ❯

an incubated startup model backed by a large company. Data & AI-Centric B2C: Deep expertise leading a consumer product that relies heavily on large, personalised datasets and AI/ML to deliver recommendations and drive user actions. Senior Ownership: This role reports directly to the CEO of one of the core group businesses and holds the highest product seniority in More ❯

job, it’s a chance to shape the direction of the due diligence industry with our market-leading product. Whether you’re in engineering, data science, product, AI/ML or infrastructure, you’ll be solving hard, high-impact problems: scaling distributed systems to fuel explosive growth, making sense of multilingual and unstructured data, applying AI/ML to real … and cost-efficiency. You won’t just be shipping features, you’ll be shaping architecture, tooling, models, and pushing the boundaries of what’s possible. For people who love learning The Challenge Our product is experiencing tremendous demand, presenting us with the exciting challenge of scaling our platform and technology. We need to deliver accurate insights while doubling down … top condition. Life Insurance – let's hope nobody ever needs this! Unlimited holidays – yes, it really is uncapped – take the time you need, when you need it. Everyone is learning, developing and challenging themselves – so we have a £1k professional development fund per year if you want to learn new skills, even new things outside of work. Most importantly More ❯

oversee preprocessing, cleaning, and curation workflows essential for efficient LLM training and inference. Model Development & Evaluation Lead the development and evaluation of LLMs, leveraging expertise in transformers , self-supervised learning , and large-scale distributed training . Optimize training pipelines for enhanced performance, compute efficiency, and responsible AI alignment. LLM Deployment … Scalability Manage the end-to-end deployment of LLMs and foundation models in production environments, focusing on system integration, inference, and optimization. Cross-functional Collaboration Engage with research scientists, ML engineers, and product teams to align technical advances with business needs. Mentor junior researchers and engineers, promoting best practices in LLM development, scalable model deployment, and evaluation processes. Required Skills … Qualifications Experience: 3+ years in NLP, transformer models, deep learning, and scalable AI pipelines, with demonstrated involvement in LLM development, fine-tuning, or deployment. Technical Skills: Proficiency in Python and frameworks such as PyTorch , TensorFlow , or JAX . Strong familiarity with distributed computing and data engineering tools (e.g., SLURM , Apache Spark , Airflow ). Hands-on experience with LLM training More ❯

Presales, Solutions Consulting, or Technical Architecture. Experience in AI-enabled customer experience transformation. Degree in Computer Science, AI, or related field (or equivalent practical experience). Cloud, AI/ML, or CX vendor certifications (AWS/Azure/GCP, Genesys Cloud, OpenAI, Hugging Face, etc.) are a plus. Flexible/remote working options Private healthcare and life insurance Pension plan … Cycle-to-work scheme 28 days paid annual leave (including company-wide wellbeing days) Access to LinkedIn Learning and ongoing development programs If you’re ready to shape the future of AI-driven customer experience and thrive in a collaborative, fast-paced environment — we’d love to hear from you. More ❯

Write clean, testable, and maintainable code. ->Collaborate in an agile environment, participating in sprint planning, code reviews, and team knowledge-sharing sessions. Tech Stack ->TypeScript ->Next.js ->Node.js ->GCP ->AWS (ML) ->CI/CD with GitHub actions and workflows ->SQL (PostgreSQL, MySQL) ->NoSQL (MongoDB, Firestore, Redis) ->RESTful APIs - GraphQL Requirements for Tech For Good (Audio Intelligence) | Innovative Products | Mid-Level (Back … who can balance delivering features with maintaining code quality. ->Strong communication skills and ability to collaborate across teams. Nice to haves... ->Python experience. ->GCP experience. ->Experience with AI/ML-powered applications. ->Exposure to real-time data processing. ->Knowledge of CI/CD pipelines and automated testing. Remuneration & Benefits £50K - £65k + Equity (once probation is passed) 40 days holiday More ❯

will collaborate with design and user research to gather feedback, ensuring our platform meets both technical and user needs. If you are passionate about building next-generation AI/ML products, thrive in a fast-paced Agile environment, and excel at collaborating with engineers to solve complex problems, then this role is for you. Responsibilities Work closely with software engineering … experience as a software engineer, SRE/DevOps engineer, or similar technical role is highly valued and will help deeply engage with the engineering team. Familiarity with AI/ML infrastructure or HPC (high-performance computing) environments. Understanding of GPU computing, cloud computing services, or data centre operations is a plus. Experience working at a startup or in a rapidly More ❯

Staff Software Engineer – AI/ML (Business Systems Intelligence) London (Hybrid – 2 days per week in office) An opportunity to take on a high-impact, hands-on leadership role within a scaling global SaaS company that’s using AI to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you’ll be … mentor other engineers, and help define how AI and automation are adopted across the company. What You’ll Do Lead the design, architecture, and implementation of internal AI/ML systems for business intelligence. Build robust APIs, microservices, and data pipelines to power intelligent, data-driven tools. Develop retrieval-augmented generation (RAG) systems using vector databases for contextual AI. Set … backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and vector databases (e.g. Pinecone, FAISS, Weaviate). Proficiency in Python plus at least one other backend language (TypeScript or Java preferred). Proven experience with AWS , containerisation, and More ❯