11 of 11 Machine Learning Jobs in Reading

Data Scientist, you will be expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across … adherence to data privacy regulations. Connect to your skills and professional experience A bachelor's degree (or equivalent) or higher in AI or equivalent. Proven experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming languages More ❯

help brands across entertainment, tech, sports, and consumer goods maximise their marketing impact. You’ll be part of a collaborative Data Science team, working on large-scale datasets, building machine learning models, and delivering actionable insights for high-profile clients. Key Responsibilities Lead the development of … solutions for complex client challenges, defining clear success criteria. Support and mentor junior team members, fostering a collaborative environment. Independently manage client relationships and project expectations. Develop and deploy ML models, applying innovative approaches beyond basic feature engineering. Use Python, SQL, and Tableau for reporting and analysis within an AWS environment. Work closely with Data Engineering, Sales, and Market Research … statistical and machine learning expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL, and data analytics tools. Experience deploying and evaluating ML models in production environments. Ability to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant More ❯

Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ More ❯

analytics, and data product architectures Exceptional communication, negotiation, and executive storytelling skills. Preferred: Advanced certifications in data and analytics or business leadership. Experience in deploying ThoughtSpot solutions. Background in machine learning product development , predictive analytics, or AI-powered business intelligence solutions. Knowledge of the automotive retail industry , including understanding of dealership operations, inventory management, customer lifecycle, and automotive 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 … quickly with performance Industry leading commission scheme - up to 40% commission and no limit on what you can earn A full Career development programme, very clear and structured 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 ❯

and multidisciplinary teams , while driving standards in one of the most rapidly evolving technology landscapes. The Role As an AI Security Architect , you will: Define and implement AI/ML security strategies, standards, and guidelines . Design and own enterprise security architecture for AI/ML systems, CI/CD, and data pipelines. Conduct security risk assessments and threat modelling … for AI/ML workloads. Support testing of AI/ML models, including trustworthiness, fairness, bias, and adversarial attack detection. Collaborate with data scientists, engineers, and stakeholders to embed security controls in AI/ML pipelines. Enforce robust access control, authentication, and encryption standards . Stay ahead of emerging AI security threats, regulations, and frameworks . Provide advisory guidance to … cross-functional teams during AI/ML system design and deployment. Contribute to regulatory compliance efforts (EU AI Act, GDPR, ISO 27001, NIST AI RMF, etc.). Support incident response teams in handling AI/ML-related security events. Your Profile Wed love to hear from you if you have: Strong experience as a Security Architect , with a focus on More ❯

work directly with clients to understand their challenges. You will then use your experience to advise on solutions that can benefit the business and help improve performance using AI, ML and Advanced Analytics. The client is committed to becoming leaders in their industry within the UK and is renowned for offering fantastic opportunities to move up the ranks of the … models into client environments and monitor on-going performance, making changes where necessary To be successful in this role you will have . Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial) Experience with Gen AI would More ❯

work directly with clients to understand their challenges. You will then use your experience to advise on solutions that can benefit the business and help improve performance using AI, ML and Advanced Analytics. The client is committed to becoming leaders in their industry within the UK and is renowned for offering fantastic opportunities to move up the ranks of the … models into client environments and monitor on-going performance, making changes where necessary To be successful in this role you will have . Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial) Experience with Gen AI would More ❯

for a security leader with extensive experience designing and implementing enterprise-grade security architectures across complex, highly regulated environments. The role will focus heavily on cloud security, AI/ML security, regulatory compliance, and secure-by-design frameworks for critical systems. Why This Role? Shape and deliver the security architecture strategy for enterprise cloud and AI/ML programmes. Work … with security guardrails. Act as a trusted advisor to senior leadership , influencing both business and technology direction. Key Responsibilities Define and evolve security architecture strategies for cloud, AI/ML, and MLOps environments . Act as a senior security advisor to leadership, engineering, and business stakeholders. Develop security architecture standards, patterns, and guidelines for enterprise solutions, with specific coverage for … AI/ML workloads. Conduct security architecture reviews, threat modelling, and risk assessments for AI/ML systems and pipelines . Ensure solutions comply with European financial services regulations (GDPR, PSD2, DORA, NIS2) as well as emerging AI governance frameworks (e.g., EU AI Act, NIST AI RMF). Integrate security into DevSecOps and MLOps pipelines , including CI/CD and More ❯

Work Week - Monday to Thursday, with TOIL for extra flexibility Remote-First Culture - Work from anywhere in the UK Career Coaching - Dedicated 1:1 support to help you grow Learning & Development - 5 paid training days + premium resources Tech Stack Exposure - Java, Spring Boot, AWS, React.js, DevOps & more Collaborative Culture - Inclusive, tight-knit team that values innovation … Competitive Pay & Perks - Up to £75K DOE + comprehensive benefits Your Toolkit Java & Spring Boot AWS (Lambda, ECS, S3, etc.) React.js CI/CD & DevOps tooling Bonus: AI/ML, Kubernetes, serverless architecture Security Clearance Note Due to the nature of our work, you'll need to be eligible for SC Clearance-that means holding a British passport and having More ❯

Owning and maintaining software modules and operational tools. Mentoring junior engineers and shaping best practices. Working across embedded, automation, and cloud-based infrastructure (AWS). Collaborating on AI/ML projects and data-driven improvements. Required Experience: Strong background in Python (with some C++). Experience in embedded systems and automation/control mechanisms. Track record of leading or mentoring … software engineers. Exposure to AWS and AI/ML frameworks (PyTorch, TensorFlow, OpenCV) is a big plus. Flexible, solutions-focused mindset – comfortable in a start-up environment. Nice-to-haves: Microcontrollers (Raspberry Pi, Okdo, Tinker Edge R). Robotics, servo/stepper motors or automated machinery experience. Mobile app development (Android/iOS). If you feel you could be More ❯