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About the Role

Build and deploy cutting-edge AI and ML solutions for diverse clients, gaining full-stack delivery experience and benefiting from investment in professional growth. You'll be involved in a wide variety of projects, from cutting-edge AI solutions for the UK government to building transformative tools across a range of industries. This role involves delivering end-to-end data science and engineering solutions for clients, alongside building and improving internal products. Expect mentoring and guidance to foster excellence and professional growth.

Responsibilities

• Build and deploy cutting-edge AI and ML solutions for diverse clients.
• Gain full-stack delivery experience across an array of industries.
• Deliver end-to-end data science and engineering solutions for clients.
• Build and improve internal products.
• Write and contribute towards presentation slide decks to showcase work during sprint reviews and client project demos.

Requirements

• Must already have the right to work in the UK.
• Unable to offer sponsorship for a Skilled Worker visa.
• Unable to consider applications from candidates currently in full-time education (including PhD students).
• Application must include answers to screening questions and code samples.
• Fluent in Python and SQL for data analysis, data science and machine learning.
• Comfortable across the Python Open Data Science Stack (pandas, NumPy, scikit-learn, matplotlib, Seaborn).
• Hands-on experience with at least one LLM application pattern (RAG, fine-tuning, or building LLM evaluation suites).
• Care about measuring quality (hallucination/faithfulness, LLM-as-judge) rather than shipping on vibes.
• Comfortable with the building blocks of modern AI systems: embeddings and vector databases, prompt engineering, and working with frontier model APIs (OpenAI, Anthropic, Google).
• Think about getting models into production — versioning, monitoring and iterating (MLOps / LLMOps), not just notebooks.
• Excellent at agentic coding — comfortable driving tools like Claude Code, Cursor and GitHub Copilot, and skilled at reviewing and correcting their output.
• Enjoy sharing knowledge, experience, and passion with others.
• Great communication skills.

Skills

• Python
• SQL
• Data Analysis
• Data Science
• Machine Learning
• Pandas
• NumPy
• Scikit-learn
• Matplotlib
• Seaborn
• LLM Application Patterns (RAG, fine-tuning, LLM evaluation)
• Embeddings
• Vector Databases
• Prompt Engineering
• Frontier Model APIs (OpenAI, Anthropic, Google)
• MLOps / LLMOps
• Agentic Coding
• Claude Code
• Cursor
• GitHub Copilot
• Communication Skills

Location

• UK-based
• Hybrid
• London (approx. 2-4 days per month on-site)
• Remote-friendly

Work Type

• Full-time
• Hybrid

Salary/Compensations

• £38,000 annual salary with a meaningful uplift following a performance review at the successful 3-month probation mark.

Benefits

• 33 days of annual paid holiday, including bank holidays.
• Pension contributions via Smart Pension.
• Regular check-ins for performance reviews.
• Co-working spaces in London and access to the Hubble network.
• Potential for skill improvement through paid courses and subscriptions.
• Sponsorship for PyData Meetups and Humble Data.
• Support for speaking at meetups/conferences.
• Conference budget: £1000 per employee in year 1, rising to £2000 by year 3.
• Spill: All-in-one mental health support programme (8 hours of therapy per year).
• Headspace: Paid membership.
• 10% Time: 4 hours per week dedicated to skill improvement or personal projects.
• Company-owned Apple laptop plus peripherals (monitor, keyboard).

About the Company

• Coefficient is a full-stack data consultancy dedicated to helping organisations solve their toughest challenges using data science, software engineering, machine learning, analytics, and artificial intelligence.
• We partner with clients to deliver end-to-end solutions, combining statistical expertise with agile delivery.
• We create and deliver tailored training programmes via workshops, online learning, and hybrid curricula.
• We invest heavily in professional development through our "10% Time" programme and our annual conference budget.
• We are unapologetically pro AI-assisted development.
• We were one of the first 80 signatories of TechZero.
• We are committed to challenging the status quo and are always looking for ways to make a positive impact.

Equal Opportunity

• We recognise that diverse teams are the most successful teams, and we know some people are less likely to apply for the role unless they are 100% qualified. Please do not worry if you don’t meet every single requirement listed.
• We strongly encourage you to apply if this role excites you and you believe you have the potential to grow here.
• We are committed to fostering a diverse, inclusive, and empowering culture at Coefficient.