Future Tech Jobs Future Tech Jobs

Graduate AI Data Scientist

Global Tech Recruitment
London, United Kingdom
3 weeks ago
£42,000 – £45,000 pa

Salary

£42,000 – £45,000 pa

Job Type
Permanent
Work Pattern
Flexible
Work Location
Hybrid
Seniority
Entry
Education
Degree
Posted
28 Apr 2026 (3 weeks ago)

Benefits

Comprehensive full in-house training program Exposure to real-world AI projects Supportive and collaborative working environment Clear career development paths with ongoing mentorship and support
Share
Save job
Create job alert

Training: Full in-house training provided by the hiring company, no experience required.

About the Role:

Our client, a growing company working in the AI and data space, is hiring Graduate AI Data Scientists to join their team in London. This is an entry-level opportunity suitable for recent graduates or early-career candidates looking to start a career in AI and data science, with full training provided.

As a Graduate AI Data Scientist, you will work closely with cross-functional teams to support the analysis of datasets, assist in building predictive models, and contribute to delivering insights that support business decisions and AI product development.

Key Responsibilities:

• Assist in collecting, processing, and analyzing datasets from various sources

• Support the development, training, and validation of machine learning models

• Perform exploratory data analysis to identify trends, patterns, and insights

• Collaborate with data engineers, machine learning engineers, and product teams

• Help communicate findings and model results to both technical and non-technical stakeholders

• Stay up-to-date with the latest developments in AI, machine learning, and data science

Essential Skills & Qualifications:

• Basic understanding of statistics, data analysis, and machine learning concepts (e.g., regression, classification, clustering)

• Exposure to data preprocessing, cleaning, and feature engineering (e.g., through academic or personal projects)

• Ability to work with structured and unstructured data at a foundational level

• Awareness of ethical considerations in AI

• Degree in Computer Science, Mathematics, Statistics, Data Science, or a related discipline — or equivalent practical experience

• Good communication skills with the ability to explain concepts clearly

Desirable Skills (training provided where necessary):

• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch)

• Basic knowledge of SQL and working with databases

• Awareness of cloud platforms such as AWS, Azure, or Google Cloud

• Understanding of AI ethics, data privacy, and compliance considerations

• Experience with Python and data science libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib

What We Offer:

• Starting salary of £42,000 per annum with opportunities for growth

• Comprehensive full in-house training program provided by the hiring company

• Exposure to real-world AI projects and practical applications

• Supportive and collaborative working environment

• Flexible work options, with office locations in London

• Clear career development paths with ongoing mentorship and support

How to Apply:

If you’re ready to start your career in AI and data science with full training and support, we’d love to hear from you. Please submit your CV and a cover letter explaining your interest and any relevant academic or project experience

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required

PhD Graduate AI & Algorithms Engineer (2026 start)

Cambridge Consultants United Kingdom
On-site Clearance Required

AI Engineer

SF Partners Birmingham, West Midlands (county), United Kingdom
£60,000 – £70,000 pa Hybrid

Senior CFD Engineer - Multiphase

PhysicsX London, United Kingdom

Machine Learning Research Engineer

Luminance Cambridge, United Kingdom
Hybrid

EMEA Energy Industry Go-To-Market (GTM) Leader

Databricks United Kingdom
Hybrid

Industry Insights

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

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine Learning Jobs UK 2026: roles, salaries and the MLOps, LLM and generative AI hiring trends shaping UK ML careers over the next three years. Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Machine Learning roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.