12 of 12 Remote/Hybrid Machine Learning Jobs in Surrey

Doing Build, test, and improve production-grade deep learning models for computer vision tasks (classification, detection, segmentation, tracking) Optimise and deploy CV/ML pipelines to cloud and edge platforms Design, curate, and manage image/video datasets for training and evaluation Develop and maintain annotation workflows and tooling … Create synthetic data pipelines (including generative approaches) to augment real-world datasets Stay current with emerging tools, methods, and best practices in CV/ML What We're Looking For Degree in Computer Science, Electrical Engineering, Robotics (or similar), or equivalent commercial experience Proven experience delivering deep learning solutions ...

accuracy, robustness, and performance of our biometric systems through experimentation, model development, and analysis of system weaknesses. Work closely with Data Engineers and Machine Learning Engineers to understand data challenges, investigate issues, and develop scalable solutions for biometric security. Help develop datasets, tools, and evaluation methods that support … attack patterns, failure modes, and opportunities to strengthen the resilience of our biometric systems. Stay up to date with developments in computer vision, machine learning, and biometric security, and apply relevant ideas to our products. Collaborate with engineers and researchers to share findings and bring new ideas into ...

Analytical Engineer Ready to turn complex data into powerful insights? Join a forward-thinking Data & AI team building cutting-edge analytics, machine learning and GenAI solutions that shape smarter business decisions. You’ll be working alongside a talented team of Data & AI Engineers, Data Scientists, Analysts, Developers … Architects to design and deliver cutting-edge machine learning and AI-driven solutions. Skills and experience you need as Analytical Engineer: Strong hands-on experience with modern cloud data platforms (e.g. Databricks or Snowflake), ideally within AWS environments Advanced programming and data engineering skills in Python, PySpark ...

Venture Capital investor and work from our state-of-the-art office in Sunderland. Description: Design, develop, and deploy end-to-end AI/ML-powered features and applications using Python and modern frameworks. Build, integrate, and maintain machine learning models/solutions—from data pipelines … robust backend systems and APIs (e.g., FastAPI, Django, Flask) to support AI-driven workflows. Develop user-friendly frontend interfaces (e.g., React, TypeScript) that surface ML insights and drive engagement. Lead the development, evaluation, and monitoring of models (LLMs, predictive/classification, agentic workflows), ensuring security and compliance standards are met. ...

Strong programming skills (Python preferred; Java or similar acceptable) Solid experience with cloud platforms (AWS, Azure or GCP) and modern DevOps practices Experience integrating machine learning/GenAI models into real-world systems Experience with LLMs, RAG, vector search, conversational AI, or unstructured data pipelines Familiarity with ...

Data Engineer – Build the Future with Data & AI Join a high-performing team building cutting-edge data, machine learning and AI solutions on a modern cloud platform. You'll design scalable data pipelines, develop innovative data products, and work with the latest technologies in a collaborative, agile environment. … performance of data components Improve engineering processes across the wider data community Promote high coding and data practice standards Experiment with emerging data, ML and AI technologies What you'll need: Strong Python, PySpark, SQL and Databricks or Snowflake experience AWS cloud data engineering expertise Experience building scalable batch ...

Defining engineering standards, data models and best practice Driving CI/CD, automation and modern engineering practices Collaborating with AI engineers to productionise machine learning and AI solutions Exploring how AI can enhance engineering productivity, quality and delivery What you'll bring Strong experience with Python … data products solving real business challenges Collaborate with experienced engineers, architects and AI specialists in a supportive environment where ideas are valued and learning is encouraged If you're looking for a role where you can influence technical direction, build great engineering practices and remain close to the technology ...

great next step for you.You’ll be working closely with data engineers, data scientists, analysts, developers, architects and product teams to support analytics, machine learning and wider data-driven projects.Relevant experience includes:• Databricks or Snowflake, ideally within AWS• Python, PySpark and SQL• ETL pipelines and data transformation ...

expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection ...

communicate, and deliver upon project milestones with your team. Proactive growth mindset, always looking at ways to improve the status quo. Experience with building ML/AI-enabled products. Improve operational health, observability, and cost efficiency to keep systems scalable and sustainable. Demonstrated ability to help develop the technical mastery ...

with Challenger or Triangle sales methodology Experience selling to a technical audience in a similar space Experience selling developer tools, infrastructure, or AI/ML technologies. Fluency in German, French, Dutch, or other major regional languages. Benefits & Perks* Holistic health Medical, dental, vision benefits Annual wellness stipend Mental health support … company holidays Quarterly personal productivity stipend One-time stipend for home office upgrades 401(k) plan with company match Tax Savings Programs Continuous learning Learning/Education stipend Participation in talks and conferences Employee Resource Groups AI enablement workshops/sessions *For candidates outside ...

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 ...