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Data Scientist – Computer Vision

Location: Remote / Hybrid / On-site (flexible)

Type: Full-time

Company: Small AI Startup

About the Company

The company is a small, fast-growing AI startup building practical solutions to real-world problems using artificial intelligence and computer vision. The team works closely across disciplines, values experimentation, and focuses on delivering models that perform reliably outside of controlled environments.

The Role

The company is seeking a Data Scientist with a focus on computer vision to work on end-to-end AI solutions. This role involves taking ownership of computer vision problems from early exploration through to production deployment.

The successful candidate will play a key role in shaping both the product and the technical direction of the company, working in a hands-on, fast-paced startup environment.

Key Responsibilities

• Develop, train, and evaluate computer vision models (e.g. image and video classification, object detection, segmentation)
• Work with complex, real-world visual datasets, including data preparation and augmentation
• Experiment with and adapt modern deep learning architectures
• Collaborate closely with engineers and founders to integrate models into production systems
• Iterate quickly based on product requirements and real-world feedback
• Contribute to technical decision-making and best practices within the team

Required Skills and Experience

• Experience in data science, machine learning, or a related role with exposure to computer vision
• Strong programming skills in Python
• Hands-on experience with machine learning and computer vision frameworks (e.g. PyTorch, TensorFlow, OpenCV)
• Solid understanding of machine learning fundamentals
• Ability to work independently in an environment with evolving requirements
• Strong communication skills and the ability to explain technical concepts clearly

Desirable Experience

• Experience deploying machine learning models into production
• Familiarity with cloud platforms, containerisation, or MLOps tooling
• Experience in a startup or small team environment
• Background in video analytics, edge AI, or multi-modal models
• Evidence of practical computer vision work (projects, open-source, publications)

What the Company Offers

• A high-impact role with real ownership and influence
• Exposure to the full lifecycle of AI product development
• A collaborative, low-bureaucracy environment
• Competitive compensation and flexible working arrangements
• Strong opportunities for learning and professional growth

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AI Engineer

Up to £100,000 + benefits
Central London (Hybrid – 2-3 days per week in office)

You will be joining this company at an exciting time, as the company is growing it’s AI capabilities from the ground up. You’ll work on impactful AI solutions used across hundreds of locations and by thousands of customers, with full ownership of projects throughout the full process. This will be a hands-on role and requires someone who wants to make a real difference in consumer lives with AI.

The Company

This well-known organisation is undergoing a large digital transformation, investing heavily in AI to improve both internal operations and customer experience. With a newly formed digital leadership team, AI sits at the heart of the company’s long-term strategy, giving you the opportunity to deliver solutions that make a measurable impact at scale.

The Role

As an AI Engineer, you will design, build, and deploy end-to-end AI solutions. You’ll work closely with senior stakeholders, owning projects from discovery through to delivery, and helping translate complex AI concepts into clear, actionable outcomes.

Specifically, you can expect to be involved in the following:

• Build AI products end‑to‑end, from prototypes to production.
• Work with teams across the business to define problems, test ideas, and measure impact.
• Prepare data and develop models using both classical ML and generative AI.
• Integrate AI into digital products through services, APIs, and safe, compliant guardrails.
• Manage model life cycle and MLOps while sharing best practices and enabling colleagues.

Skills and Experience

The successful AI Engineer will have the following skills and experience:

• Strong Python and SQL experience, ideally with Databricks
• Experience with ML and LLM tools (e.g., scikit learn, XGBoost, PyTorch, TensorFlow, RAG, APIs)
• Comfortable with data engineering basics and MLOps practices
• Experience working with cloud platforms such as Azure, AWS, or GCP

Benefits

The successful Senior AI Engineer will receive the following benefits:

• Salary up to £100,000
• Performance-related bonus
• Hybrid working model
• Comprehensive benefits package including healthcare and pension

How To Apply

Please register your interest by sending your resume to Madison Barlow via the Apply link on this page.

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Mid‑Level Data Scientist

Location: Central London

Working Pattern: 4 days in office (Mon-Thurs)

Salary: £60,000-£75,000 total comp (including bonus)

Sponsorship: Not available

About the Role

If you’re a Data Scientist who loves solving real problems, experimenting with new ideas, and seeing your work make a meaningful impact, this role is designed with you in mind.

You’ll join a supportive and collaborative data function within a global investment organisation that’s using AI, LLMs, and modern data science to enhance how investment decisions are made. The work is varied, intellectually engaging, and grounded in real‑world outcomes – a great fit for someone who enjoys developing their skills while contributing to purposeful projects.

You’ll be encouraged to explore new approaches, share ideas openly, and help shape how projects evolve over time.

What You’ll Work On

Research & Innovation

• Exploring new AI and LLM‑based use cases

• Building proofs of concept and experimenting with modern NLP and agentic frameworks

• Applying language models to complex, unstructured datasets

Production & Deployment

• Turning research into scalable, production‑ready models

• Improving and maintaining established pipelines

• Working end‑to‑end across the full data science lifecycle

Analytical Project Work

• Running short, focused projects that support investment decisions

• Using NLP and classical ML to extract insights from diverse data sources

If you enjoy moving between research, hands‑on coding, and applied problem‑solving, you’ll feel at home here.

What You Bring

Core Skills

• Strong Python (pandas, scikit‑learn, etc.)

• Solid grounding in classical data science

• Experience delivering end‑to‑end data science projects

• Familiarity with LLMs, NLP, or language‑based analysis

• Cloud experience (GCP preferred; AWS/Azure welcome)

• Good coding practices and understanding of software development principles

Nice to Have

• Transformers / Hugging Face

• Snowflake, BigQuery, or data lake experience

• Streamlit or dashboarding tools

• Exposure to finance or markets (not required)

• Interest in full‑stack development

Who You Are

• 1-3 years’ experience as a Data Scientist

• STEM degree or equivalent technical background

• Comfortable working with a balance of independence and collaboration

• Clear communicator who enjoys working with others

• Motivated by complex challenges and opportunities to learn

Why This Role Stands Out

• Competitive base salary + 10% bonus

• Work on cutting‑edge AI and LLM applications

• Variety across research, production, and analytical projects

• Opportunities to contribute to meaningful decisions and outcomes

• A culture that values curiosity, creativity, and continuous learning

Apply below!

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Senior Software Engineer, Machine Learning

$170,000-$215,000 + bonus & benefits

Remote – U.S., UK, or Canada

About the Company

• We’re a remote-first product and engineering organization building AI-powered tools that fundamentally improve how people think together, explore ideas, and make decisions. Our focus is on augmenting human creativity and collaboration – not replacing it – by embedding intelligent systems directly into real workflows used by teams every day.
• We operate at the intersection of applied machine learning, thoughtful product design, and scalable systems, with a strong emphasis on shipping production AI that delivers real value. The team is globally distributed, highly collaborative, and driven by curiosity, ownership, and impact.

About the Role

• We’re hiring a Senior Machine Learning Engineer to build intelligent systems that power creative thinking, collaboration, and decision-making at scale.
• This role sits at the intersection of applied ML, product innovation, and scalable infrastructure. You’ll design and ship production ML systems – from retrieval-augmented generation to generative features – working closely with product, design, and engineering in a high-ownership environment.

What You’ll Do

• Design, build, and productionize ML models for generative AI, fine-tuning, and RAG
• Build scalable data pipelines for training, evaluation, and continuous improvement
• Develop annotation and human-in-the-loop workflows to improve model quality
• Partner with product engineers to deliver impactful, user-facing AI features
• Collaborate with infrastructure teams on training, inference, monitoring, and deployment
• Explore new ideas and help shape the long-term AI vision

What You Bring

• 5+ years of industry experience building and shipping deep learning systems
• Strong Python skills and experience with PyTorch or TensorFlow
• Familiarity with modern ML toolchains (hosted APIs, open-source frameworks, or custom stacks)
• Experience with embedding-based systems for retrieval, ranking, or multimodal models
• Comfort mentoring others and raising the technical bar

Nice to Have

• MLOps and ML infrastructure experience (observability, CI/CD, automation)
• Experience working on creative, design, or collaboration-focused ML products

Why Join

• Build AI that amplifies human creativity rather than replacing it
• Own production ML systems used by teams every day
• High autonomy and influence in a cross-functional environment
• Remote-first culture with strong engineering and product collaboration
• Competitive compensation and meaningful growth opportunities

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Job Title: Client-Facing Data Scientist (Marketing & Market Mix Modelling)

Location: Netherlands / Belgium / Hybrid
Language Requirement: Fluent Dutch & English

About the Role

The company is seeking a Dutch-speaking, client-facing Data Scientist to join its growing analytics team. This role focuses on delivering data-driven insights for commercial and marketing stakeholders, with a strong emphasis on marketing analytics and Market Mix Modelling (MMM).

The successful candidate will act as a trusted advisor to clients, translating complex analytical outputs into clear, actionable recommendations that inform marketing strategy, budget allocation, and overall business performance.

Key Responsibilities

• Develop, maintain, and improve Market Mix Models to measure marketing effectiveness across channels

• Work directly with clients to understand business challenges and define analytical approaches

• Translate model results into clear insights and recommendations for non-technical stakeholders

• Present findings to marketing teams, commercial leaders, and senior stakeholders

• Analyse marketing data including media spend, sales, pricing, promotions, and external factors

• Collaborate with internal data science, engineering, and consulting teams

• Support scenario planning, forecasting, and optimisation of marketing budgets

Required Skills & Experience

• Strong academic or professional background in data science, statistics, econometrics, or a related field

• Proven experience in Market Mix Modelling or advanced marketing analytics

• Proficiency in Python and/or R (SQL experience is an advantage)

• Solid understanding of marketing channels (digital and offline)

• Ability to communicate complex analytical concepts clearly and confidently

• Fluent Dutch, both written and spoken, with professional-level English

• Experience in a client-facing or stakeholder-facing role

Nice to Have

• Experience in consulting, analytics advisory, or agency environments

• Knowledge of causal inference, time-series modelling, or Bayesian approaches

• Experience with data visualisation tools such as Tableau or Power BI

• Experience working with large and complex marketing datasets

What the Company Offers

• Exposure to high-impact marketing and commercial projects

• Regular interaction with senior client stakeholders

• A collaborative, analytics-led working environment

• Competitive salary and benefits

• Flexible and hybrid working arrangements

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PRINCIPAL DATA ENGINEER

£80,000 + BENEFITS

LEEDS (Hybrid)

Looking for a role where you can truly influence how data engineering is done-while still getting stuck into the tech yourself?

THE COMPANY:

I’m working with a central data function in the financial services industry that’s undergoing a full modernisation of their data platform. They’ve got technically advanced teams across the wider business and are now building out a core engineering team to unify, elevate and support that community.

THE ROLE:

It’s a strategic, hands-on role where you’ll work closely with DevOps, Product, and business partners to unlock the value of data through modern, secure and governed pipelines.

• Lead hands-on development work using Azure, Databricks, and Terraform (IaC)
• Support the migration from legacy platforms to a more modern cloud stack
• Act as a mentor and technical guide to the wider engineering team
• Implement data governance requirements
• Collaborate with non-technical stakeholders to ensure delivery aligns to business needs
• Stay close to the ML lifecycle

YOUR SKILLS AND EXPERIENCE:

A successful Principal Data Engineer will have the following skills and experience:

• Strong hands-on experience with Azure
• Proficient in Databricks
• Skilled in Terraform and Infrastructure as Code practices
• Exposure to containers/Kubernetes
• Awareness of ML Ops concepts

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £80,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Strategist

Bristol | £50,000-£60,000

This is an exciting opportunity to shape data‑driven CRM strategy for a variety of well‑known consumer brands. You’ll join a collaborative, fast‑moving environment where insight, creativity, and customer experience come together to drive real commercial impact.

The Company

They are a specialist customer and data‑focused agency with a long-standing reputation in CRM and lifecycle marketing. With new investment and growing international demand, they are expanding their strategic team. Their culture is friendly, tight‑knit, and built around delivering thoughtful, insight-led work for a diverse client base.

The Role

As Senior Data Strategist, you will help clients understand their customer data and turn insights into effective CRM strategies. Your work will span multiple sectors and customer programmes.
You will:

• Develop data‑led CRM and lifecycle strategies across multiple accounts.
• Turn analysis into clear frameworks, recommendations, and engaging stories.
• Collaborate closely with data teams to translate insight into action.
• Design or refine customer journeys across core CRM channels.
• Review tech stacks and processes to support better customer experiences.
• Build compelling strategy decks for senior stakeholders.
• Mentor junior strategists and contribute to the team’s overall capability.

Your Skills & Experience

You will have:

• Experience in a CRM, customer strategy, or data‑driven marketing role.
• A strong understanding of how to turn insights into commercial outcomes.
• Experience presenting to clients or senior stakeholders.
• Confidence working with analytics teams to identify opportunities.
• Familiarity with CRM or customer engagement platforms (experience with leading tools is beneficial).
• Experience with analytics or visualisation tools such as Tableau, Adobe Analytics, or similar.
• Strong communication skills and an ability to simplify complexity.

What They Offer

• £50,000-£60,000 depending on experience.
• Bristol office presence three days per week, or London-based with regular travel.
• Exposure to a broad client portfolio and varied strategic challenges.
• The chance to play a key role in a growing team with global opportunities.
• A supportive, collaborative environment where you can stretch your strategic skills.

How to Apply

If you’re a data‑driven CRM strategist ready to take on broader, more strategic work, apply now with your CV.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Strategist

London – £50,000-£60,000

This is an exciting opportunity to shape data‑driven CRM strategy for a variety of well‑known consumer brands. You’ll join a collaborative, fast‑moving environment where insight, creativity, and customer experience come together to drive real commercial impact.

The Company

They are a specialist customer and data‑focused agency with a long-standing reputation in CRM and lifecycle marketing. With new investment and growing international demand, they are expanding their strategic team. Their culture is friendly, tight‑knit, and built around delivering thoughtful, insight-led work for a diverse client base.

The Role

As Senior Data Strategist, you will help clients understand their customer data and turn insights into effective CRM strategies. Your work will span multiple sectors and customer programmes.
You will:

• Develop data‑led CRM and lifecycle strategies across multiple accounts.
• Turn analysis into clear frameworks, recommendations, and engaging stories.
• Collaborate closely with data teams to translate insight into action.
• Design or refine customer journeys across core CRM channels.
• Review tech stacks and processes to support better customer experiences.
• Build compelling strategy decks for senior stakeholders.
• Mentor junior strategists and contribute to the team’s overall capability.

Your Skills & Experience

You will have:

• Experience in a CRM, customer strategy, or data‑driven marketing role.
• A strong understanding of how to turn insights into commercial outcomes.
• Experience presenting to clients or senior stakeholders.
• Confidence working with analytics teams to identify opportunities.
• Familiarity with CRM or customer engagement platforms (experience with leading tools is beneficial).
• Experience with analytics or visualisation tools such as Tableau, Adobe Analytics, or similar.
• Strong communication skills and an ability to simplify complexity.

What They Offer

• £50,000-£60,000 depending on experience.
• Bristol office presence three days per week, or London-based with regular travel.
• Exposure to a broad client portfolio and varied strategic challenges.
• The chance to play a key role in a growing team with global opportunities.
• A supportive, collaborative environment where you can stretch your strategic skills.

How to Apply

If you’re a data‑driven CRM strategist ready to take on broader, more strategic work, apply now with your CV.

To Apply for this Job Click Here