Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Machine Learning / Computer Vision Engineer – Data Scientist

Reading
8 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer / Researcher - 2026 Graduate Programme

Machine Learning Engineer/Researcher – 2026 Graduate Programme

Machine Learning Engineer/Researcher - 2026 Graduate Programme

Machine Learning Engineer/Researcher - 2026 Graduate Programme

Machine Learning Engineer/Researcher - 2026 Graduate Programme

Machine Learning Engineer (Databricks)

Machine Learning / Computer Vision Engineer – Data Scientist – Remote (UK only)

I’m working with a rapidly growing tech company in Berkshire to recruit a Data Scientist / Machine Learning Engineer to join their team. They are particularly interested in someone with a strong academic background in Computer Vision and Deep Learning. Joining their Data Science team this will be a pivotal role on their Machine learning research and development initiatives and implementation, to solve complex business challenges through cutting-edge Machine Learning models and algorithm development.

Key Responsibilities

  • Develop advanced machine learning algorithms and statistical models to extract insights from complex datasets

  • Build and optimize state-of-the-art computer vision and deep learning models

  • Design and implement end-to-end machine learning pipelines from data collection to deployment

  • Conduct research into novel ML approaches and translate academic innovations into practical business applications

  • Implement data cleaning strategies, feature engineering, and synthetic data generation

  • Develop machine learning models that can handle real-world data constraints and limitations

  • Collaborate with cross-functional teams to define project requirements and technical strategies

  • Ensure models meet quality standards and performance metrics through rigorous validation techniques

    Required Qualifications

  • MSc or PhD in Machine Learning, Data Science, Computer Vision, Artificial Intelligence, Computer Science or related fields.

  • 3+ years of professional experience in Data Science/Machine Learning roles

  • Strong expertise in machine learning techniques including supervised and unsupervised learning, ensemble methods, and clustering

  • Experience with rule-based systems, fuzzy logic, and aggregation operators for information fusion

  • Deep expertise in computer vision techniques including image classification, object detection, and semantic segmentation

  • Strong programming skills in Python and experience with ML/DL frameworks (Scikit-Learn, PyTorch, TensorFlow)

  • Experience with cloud platforms and containerisation technologies

  • Excellent communication skills and ability to translate complex technical concepts for diverse audiences

    Technical Skills

  • Machine Learning: Classification, regression, clustering, ensemble models, information fusion, rule-based systems

  • Deep Learning Frameworks: PyTorch, TensorFlow 2, Keras

  • Computer Vision: Image classification, object detection, semantic segmentation, visual transformers, representation learning

  • Data Science Libraries: Scikit-Learn, NumPy, Pandas, Matplotlib, SciPy

  • Cloud & DevOps technologies

    What Sets You Apart

  • A strong academic background in Data Science, Machine Learning / Deep Learning

  • History of building production-ready Machine Learning / Computer Vision models that deliver business value

  • Strong understanding of both theoretical foundations and practical implementations of cutting-edge Machine Learning techniques

    Salary: £70,000 + benefits

    Location: Remote working (UK only)

    APPLY TODAY for immediate consideration and interview in the next week

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.