National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist

Alderley Park Recruitment
Oldham
7 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist - AI / ML, Python, Scripting, Cyber Security

Data Scientist - Inside IR35 contract

Data Scientist

Alderley Park Recruitment are currently recruiting a Data Scientist for our notable client based in Oldham. The role is a permanent position, initially 100% office based with more flexibility after probation period and is paying a salary of £50,000 - £60,000 per annum DOE. Our client has been trading for over 30 years with offices on five continents and they employ around 400 people, with over 150 based from their state-of-the-art R&D hub. From self-service checkouts to arcade machines, they provide their retail, banking, kiosk, vending, gaming and amusement customers with products and services that help them securely accept automated payments, with their industry-leading technology keeping them at the forefront of the sector. They also provide facial analysis technology for age estimation and control access for some of the world’s leading companies. By being true to their values of Innovation, Collaboration, Respect and Drive they have seen significant growth and won numerous domestic and international awards, whilst offering outstanding career opportunities and great benefits. You’ll find them on the edge of the Pennines and less than half an hour from central Manchester, with modern offices, free parking and excellent transport links. The Data Scientist, role overview: We are seeking a highly skilled and motivated Data Scientist with a strong background in Deep Learning to join our clients dynamic team. In this role, you will be responsible for developing and implementing deep learning models to extract valuable insights from vast amounts of data. You will work closely with cross-functional teams to drive data-driven decision-making and create impactful solutions. Your Responsibilities as a Data Scientist: Develop, implement, and optimise deep learning models for image classification problems Collaborate with a co-located team of Software Engineers to ensure seamless integration of models into production environments. Conduct exploratory data analysis, data preprocessing, feature engineering to uncover insights and guide model development. Stay up-to-date with the latest advancements in deep learning and AI technologies and apply them to real-world problems. Communicate complex technical concepts and results to non-technical stakeholders effectively. Participate in code reviews, model evaluations, and continuous improvement processes to maintain high-quality deliverables. Skills and experience we are looking for in our Data Scientist: Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field is desirable. An excellent degree from a well-established University will be considered. Understanding of the mathematics of CNNs and GANs essential, or other advanced deep learning techniques. Proven experience in developing and deploying deep learning models using frameworks such as TensorFlow, PyTorch, Keras, or similar. Strong proficiency in programming in Python. Excellent problem-solving skills and the ability to work independently as well as in a team. Strong communication skills with the ability to explain technical concepts to diverse audiences. Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerisation technologies (e.g., Docker, Kubernetes) preferable. Your Package & Perks: A competitive salary Flexible working hours 32 days holiday, (including public Holidays) plus the opportunity to earn up to an extra 13 days holiday each year Enhanced maternity/paternity/adoption leave & pay Enhanced Pension Contribution Healthcare Insurance (including dental) Wellbeing support Life Insurance Income Protection Insurance Educational Sponsorship Electric Car Scheme Free secure parking Onsite electric car charging points Staff car workshop Free onsite modern gym Cycle to Work Scheme Informal dress code Paid breaks, with free hot premium drinks This is a great role, with a great business, so, if it is of interest, please apply now in order to be considered.

National AI Awards 2025

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.

Top 10 Mistakes Candidates Make When Applying for Machine-Learning Jobs—And How to Avoid Them

Landing a machine-learning job in the UK is competitive. Learn the 10 biggest mistakes applicants make—plus tested fixes, expert resources and live links that will help you secure your next ML role. Introduction From fintechs in London’s Square Mile to advanced-research hubs in Cambridge, demand for machine-learning talent is exploding. Job boards such as MachineLearningJobs.co.uk list new vacancies daily, and LinkedIn shows more than 10,000 open ML roles across the UK right now. Yet hiring managers still reject most CVs long before interview—often for avoidable errors. Below are the ten most common mistakes we see, each paired with a practical fix and a live resource link so you can dive deeper.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.