Machine Learning / Computer Vision Engineer – Data Scientist

Reading
1 month ago
Applications closed

Related Jobs

View all jobs

Connectomics Data Analysis Engineer (Neuroscience/computer vision)

Principal Data Scientist - NLP

Data Scientist

Senior Machine Learning Ops Engineer

Senior Applied Scientist - Computer Vision

Product Manager

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

Get the latest insights and jobs direct. Sign up for our newsletter.

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 Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.

Contract vs Permanent AI Jobs: Which Pays Better in 2025?

n the ever-evolving world of technology, the competition for top talent in artificial intelligence (AI) is intense—and the rewards are significant. By 2025, AI roles in machine learning, natural language processing, data science, and robotics are expected to be among the highest-paid professions within the UK technology sector. As an AI professional, deciding between contracting (either as a day‑rate contractor or via fixed-term contracts) and permanent employment could drastically impact your take‑home pay, job security, and career trajectory. In this article, we will delve into the various types of AI roles in 2025—particularly focusing on day‑rate contracting, fixed-term contract (FTC) roles, and permanent positions. We will compare the earning potential across these three employment types, discuss the key pros and cons, and provide practical examples of how your annual take‑home pay might differ under each scenario. Whether you are already working in AI or looking to break into this booming field, understanding these employment options will help you make an informed decision on your next move.

AI Jobs for Non‑Technical Professionals: Where Do You Fit In?

Your Seat at the AI Table Artificial Intelligence (AI) has left the lab and entered boardrooms, high‑street banks, hospitals and marketing agencies across the United Kingdom. Yet a stubborn myth lingers: “AI careers are only for coders and PhDs.” If you can’t write TensorFlow, surely you have no place in the conversation—right? Wrong. According to PwC’s UK AI Jobs Barometer 2024, vacancies mentioning AI rose 61 % year‑on‑year, but only 35 % of those adverts required advanced programming skills (pwc.co.uk). The Department for Culture, Media & Sport (DCMS) likewise reports that Britain’s fastest‑growing AI employers are “actively recruiting non‑technical talent to scale responsibly” (gov.uk). Put simply, the nation needs communicators, strategists, ethicists, marketers and project leaders every bit as urgently as it needs machine‑learning engineers. This 2,500‑word guide shows where you fit in—and how to land an AI role without touching a line of Python.