22 of 22 Permanent Machine Learning Jobs in Berkshire

place to do it. An opportunity to play your part The AI Software Engineer is responsible for designing, building and operating artificial intelligence and machine learning solutions that deliver measurable customer and business value. This role focuses on taking AI from experimentation into production, developing reliable, scalable … using tools such as Python, SQL, Spark or similar data processing technologies. Experience deploying and operating AI systems in cloud environments using containerisation, managed ML services or serverless architectures. Understanding of MLOps practices including model versioning, experiment tracking, CI/CD for models and monitoring of model performance and drift. ...

looking for a talented Senior Algorithms Engineer to join an innovative engineering team developing advanced machine learning and computer vision solutions for complex, real-world applications. This is an exciting opportunity for an experienced engineer to work on challenging perception and intelligence problems, applying techniques across AI, computer … technically challenging projects, influence future development activities, and support the growth of engineering capability through collaboration and mentoring. Key Responsibilities Develop and optimise machine learning and computer vision algorithms for real-world applications. Investigate complex technical challenges, designing experiments and approaches to identify effective solutions. Analyse datasets, model ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Automation theme covers all methods and technology that bring digitisation and optimisation of energy to scale using complex algorithms based on data science, machine learning, and the full spectrum of AI techniques (e.g. generative, agentic, etc). Specifically, the role entails: Leading and developing a team of research … domain such as Computer Science, Electrical Engineering, Control Systems, or a related field Experience across a spectrum of libraries, frameworks and services : such as ML libraries e.g. TensorFlow or PyTorch model servers such as AWS Bedrock MLOps such as ML Flow or Sagemaker agent/AI orchestration such as LangGraph ...

Graduate Business Development Consultant AI | Software | SaaS | Cloud | Machine Learning | B2B Technology Salary Base: £35,000-£38,000 + OTE + Excellent Career Progression Are you graduating with a 2:1 or above and looking for more than a typical graduate role? Our client is an award-winning … technology company developing innovative software platforms used by organisations across the UK and internationally. Operating at the forefront of Artificial Intelligence, SaaS, Cloud Computing, Machine Learning, NLP and Enterprise Software , they are investing in the next generation of commercial talent. This is a structured graduate programme designed ...

behaviour at scale, enabling Kantar's products to test scenarios and predict outcomes before they happen. What you'll be doing Developing and deploying machine‐learning models in production environments Working end‐to‐end across the data science lifecycle: problem definition, modelling, deployment and monitoring Analysing … data scientist on real‐world, production problems Strong Python skills (or a similar language used in applied data science) Experience with supervised learning and unsupervised techniques such as anomaly detection Exposure to cloud‐based model training, deployment and automation A strong sense of ownership and accountability for data science ...

following areas: high throughput screening, preclinical toxicology, materials engineering, analytical development, drug substance (DS) synthesis and manufacturing. Delivered requirements for AI/ML-driven solutions in operational or productized environments that improved efficiency, reduced cost, and enhanced data utilization. Extensive hands-on experience with scientific data workflows and lab automation … customer datasets, identifying enrichment and AI-readiness opportunities. Scientific Use Case Development: Collaborate with customers to define, iterate, and implement innovative scientific AI/ML use cases. Stakeholder Engagement: Conduct onsite interviews and workshops to deeply understand customer challenges and data landscapes. Data Analysis and Enrichment: Perform exploratory data analysis ...

continuous improvements across products and services. As a Graduate Technical Engineer : You'll Gain Exposure To Artificial Intelligence (AI) Machine Learning (ML) Natural Language Processing (NLP) SaaS & Cloud Technologies IoT/M2M Solutions Unified Communications & Contact Centre Technologies IT Security & Enterprise Infrastructure You'll also have the opportunity … Hands-on experience with enterprise software and cloud technologies. Mentoring from experienced engineers. Exposure to complex, business-critical systems. A collaborative environment focused on learning, development and long-term career progression. ...

such as Cosmos DB. Knowledge of REST, SOAP, and messaging technologies. Experience building and supporting scalable data integration solutions. Desirable Exposure to AI/ML integrations. Experience with DevOps, CI/CD, and Infrastructure as Code. Background in a regulated industry is advantageous. Join a collaborative team working with modern ...

Core Banking, Business Banking, Wealth, Borrowing, Growth, Payments, Platform, Fincrime, Security & Expansion. All of our collectives are doing innovative work, many of which have machine learning and AI at the forefront- from fighting financial crime to building smarter financial tools - and you may have the opportunity to join … your skills, experience, preferences and aligning with the business need! Our backend engineers have a variety of different backgrounds. As long as you enjoy learning new things, we'd love to talk to you. We do not ask for formal qualifications or degree requirements for any of our engineering ...

customer‐first delivery). Ensure solutions are scalable, secure, and compliant with regulatory and data‐privacy requirements. Evaluate and integrate digital health, AI/ML, and emerging technologies to improve clinical trial and patient experience. Continuously assess market, competitive, and technology trends to keep Fortrea competitive. Clinical Platforms Operations & Delivery ...

agile, DevOps, customer-first delivery).Ensure solutions are scalable, secure, and compliant with regulatory requirements within clinical research.Evaluate and integrate digital health, AI/ML, and emerging technologies to enhance clinical trial and delivery and patient experience.Continuously evaluate market trends, competitive landscape, and technology trends to ensure Fortrea maintains competitive ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step ...

client is a specialist technology recruitment agency with a focus on modern and future tech. Focusing on rapidly expanding technology markets including AI, machine learning and data across the UK and US. Founded by the Managing Director of a world-renowned tech recruitment agency, you would be joining … holiday per year Casual dress Duvet days Regular company incentives including company holidays for high achievers, bi-annually. Incredible training programme and annual individual learning budget allocated to everyone Cycle to work scheme Work from anywhere up to 4 weeks of the year The Role: Sourcing and qualifying candidates ...

natural curiosity for data Experience using SQL and at least one analytical language such as Python or R A solid understanding of statistics and machine learning fundamentals Experience working with data transformation or ETL tools (DBT is a plus) Confidence explaining technical concepts to non-technical audiences ...

Volga Partners, a U.S.-based company, specializes in Artificial Intelligence and machine learning, catering to top technology giants and multinational corporations. Beyond that, we offer a spectrum of services including IT, business process outsourcing, advanced professional services, and crowdsourcing in both established and emerging markets. Our client ...

Store deployment and monitoring tools (Crashlytics, Firebase) Strong understanding of architectural patterns (MVVM, Clean Architecture) and performance optimization (ARC, Instruments) Experience integrating AI/ML capabilities (Core ML, Vision, Create ML) Practical use of AI-assisted tools for code generation, refactoring, and test automation Strong skills in crash analysis, memory ...

within the technology sector. Key Responsibilities: Embedding AI into enterprise SaaS products Collaborating closely with product and engineering teams Developing and deploying AI/ML features into live click apply for full job details ...

balancing technical feasibility with business impact. Continuously groom and prioritize the backlog to maximize value delivery. Cross-functional Collaboration Work closely with AI/ML engineers, data scientists, UX/UI designers, and software developers to ensure smooth execution of the product roadmap. Partner with business teams (marketing, sales, operations … high-quality AI solutions that meet market needs. Balance technical debt, feature development, and scalability. 5+ years of experience in Product Management, AI/ML Product Ownership, or a related role. Hands-on experience with Generative AI, Large Language Models (LLMs), or AI/ML-driven products. Strong technical understanding ...

within the technology sector. Key Responsibilities: Embedding AI into enterprise SaaS products Collaborating closely with product and engineering teams Developing and deploying AI/ML features into live products Implementing anomaly detection or predictive analytics on structured operational data Managing MLOps including deployment pipelines, model monitoring, and retraining Designing REST … patterns Contributing to a structured product roadmap Job Requirements: Experience in software engineering with a focus on AI Proven experience in production AI/ML feature development Understanding of anomaly detection or predictive analytics Proficiency in Python and TypeScript/JavaScript Experience with REST API design and MCP integration patterns ...

monitor product outcome metrics, owning the results, not just the delivery. Delivery & Cross-Functional Leadership Lead cross-functional execution across Engineering, Design, Data, ML, and Operations, bringing clarity, accountability, and momentum to complex workstreams. Mentor and support other PMs in the team, sharing knowledge, raising standards, and contributing … authority. Preferred Qualifications Experience in B2B, enterprise, or platform-based products with a dual-sided or multi-customer dynamic. Exposure to AI/ML systems, data platforms, or human-in-the-loop workflows. Experience thinking about AI output quality as a product problem, including how to measure, monitor, and improve ...