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The company:

The firm is a global consulting and analytics organization that partners with leading enterprises to deliver measurable business impact. It combines deep domain expertise with advanced data science and technology to solve complex operational and strategic challenges.

What you’ll do:

• Analyze customer support center operations through data modeling and shadowing
• Support the client’s migration to Python from legacy systems (SAS, other databases)
• Build and optimize models to improve scheduling, workflows, and customer experience
• Contribute to advanced operational research and non-linear programming in later phases
• Collaborate with stakeholders to deliver actionable, model-driven insights

What we’re looking for:

• 2-3 years of experience in data science / modeling roles
• Strong skills in Python, Pandas, NumPy, and SQL
• Exposure to operational research or customer support center/back-end operations a plus
• Hands-on experience building models (not just ETL pipelines)

If this opportunity aligns with your skills and interests, we encourage you to apply and explore the role further

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Staff ML Engineer
USA – Remote (Need to be in the USA already)
Up to $225K

Company

A rapidly growing AI-first fintech company revolutionizing financial advice using LLMs and agentic automation. Founded by serial entrepreneurs with prior exits and backed by top-tier strategic investors.

Mission

You’ll lead technical development on high-impact generative AI products, with ownership across design, modeling, fine-tuning, evaluation, and production deployment. Your work will power intelligent financial guidance systems used across advisory, B2B, and consumer-facing interfaces.

Key Responsibilities

• Fine-tune open-source and proprietary LLMs for summarization, reasoning, planning

• Build and optimize RAG pipelines with embedding tuning, reranking, hybrid search

• Lead implementation of agentic workflows for AI agents acting autonomously

• Apply reinforcement learning techniques (PPO, DPO, etc.) to improve model behavior

• Deploy models at scale with high availability and low latency

• Work closely with engineering and product to deliver end-to-end systems

Profile

• 5+ years experience in ML/AI engineering

• Proven experience building and shipping GenAI products

• Deep expertise in LLMs (LoRA, QLoRA), vLLM, fine-tuning, RAG, RLHF

• Familiarity with LangChain, LangGraph, CrewAI or similar frameworks

• Experience in high-paced, product-driven environments (startups a plus)

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Product Data Analyst
Up to £85,000
Hybrid – Leicester (2x days a week)

THE COMPANY
Our client is a leading UK brand with a subscription-based model. They serve a large, loyal membership base, making customer behaviour, retention, and lifetime value key to their growth. Data and reporting are central to driving these insights.

We’re looking for a Product Data Analyst to join a growing data team during an exciting phase of expansion. This role offers the chance to shape how analytics drives product decisions and customer strategy in a fast-paced, subscription-based business.

You’ll work closely with product, engineering, and commercial teams to uncover customer behaviour, run deep-dive analysis, and deliver insights that directly impact business performance. You’ll also define metrics, build dashboards, and champion a data-first approach across the organisation.

THE ROLE

• Translate data into actionable insights that inform product strategy
• Build and maintain dashboards and self-serve tools for stakeholders
• Analyse customer behaviour to identify opportunities and pain points
• Partner with cross-functional teams to embed data into decision-making

SKILLS AND EXPERIENCE

• Strong SQL skills
• Experience with dbt for data modelling and transformation
• Proficiency with data visualisation tools (e.g., Looker, Tableau, Power BI)
• Background in product analytics (experiments, funnels, customer journeys, etc.)

Send your profile to register your interest. Please note we cannot offer sponsorship

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Marketing Analytics Manager
£65,000
Remote

The Company
Our client, a leading business in the financial sector, is seeking a Marketing Analytics Manager to join their team.

The Role
You will be responsible for analysing performance across a variety of direct marketing channels, with a primary focus on SMS and email, alongside some exposure to digital channels. Your insights will help the business better understand customer engagement and drive both acquisition and retention strategies.

Skills & Experience
Strong skills in SQL, Python, or R
Proficiency with data visualisation tools
Experience in A/B testing and campaign optimisation
Background in financial services is required.

Apply
To register your interest, please send your profile
Please note: sponsorship is not available for this role.

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Backend Engineer (Python/Django)

Hybrid (Sheffield) – £60,000

We are working with a high-growth fintech scale-up who are looking to bring on a Backend Engineer into their growing data team. They are innovating rapidly and looking for top engineering talent to support their next phase of growth.

As a Backend Engineer, you’ll play a key role in building and scaling the company’s core payment infrastructure.

Responsibilities

• Design, build, and maintain scalable backend services and APIs
• Write production-quality Python and Django code with a focus on performance and maintainability
• Work with the Django ORM at a deep level to ensure efficient data operations
• Collaborate in agile sprints with product and engineering teams
• Debug, diagnose, and resolve issues across the platform
• Contribute to backend infrastructure, deployment pipelines, and monitoring/logging
• Mentor junior engineers and promote best practices

Tech Stack

Essential:

• Python
• Django (ORM)
• Broader backend experience
• SQL expertise
• Familiarity with CI/CD and scalable systems

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Senior Software Engineer

An AI forward digital agency is looking for a Senior Software Engineer to take technical ownership of new greenfield features in a fast-paced, start-up-style environment. You’ll work closely with stakeholders and in a team of 2 back-end developers.

• Location: Shropshire – hybrid
• Salary: Up to £75k
• Tech: Python, GCP (preferred), bonus if you’ve worked with AI/LLMs
• Experience: 3+ years, ideally from start-up or scale-up backgrounds

You’ll be hands-on with code, involved in architectural decisions, and help shape a growing engineering function within a scaling business.

Interview process:

1. Introductory chat (light technical)
2. Take-home solution design test
3. Deep-dive technical interview

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Job Title: Product Engineer
Location: Remote
Salary: £72,000 – £110,000 + stock options

I’m working with a fast-growing SaaS scale-up software organisation.

They’re looking for a Principal Product Engineer who thrives in a collaborative, product-focused environment. You’ll be part of a cross-functional squad (PM, designer, engineers, data) and involved throughout the product lifecycle – from ideation to release.

Tech Stack

• Frontend: React (core), Storybook, some legacy Marionette (Backbone.js).
• Backend: Ruby on Rails (relative flex on this).
• Infrastructure: AWS (serverless functions with Lambda, cloud hosting)..

Interview Process

1. Tech + product chat (30m): exploration of experience and product mindset.
2. Coding exercise (1h15m): React-based technical task.
3. Product engineering exercise (1h): problem-solving + approach to building.
4. Values interview with founders (1h).

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Data Engineer

Leicester (Hybrid – 2 days/week in-office)

£45,000-£50,000

The Opportunity

A leading UK-based retailer is seeking a data-driven problem solver to join as a Data Engineer.

This role is ideal for a data analyst with strong data engineering skills, who is eager to work on meaningful projects that impact product visibility and sales across multiple international partner platforms.

What You’ll Be Doing

• Become the subject matter expert for all third-party product and sales data
• Develop tools and dashboards to communicate key partner data
• Handle and scope new data requirements from external partners
• Investigate and resolve data issues (e.g., product availability errors)
• Build and manage ETL pipelines and APIs to improve data delivery and accuracy
• Contribute to the overall data strategy alongside BI and analytics colleagues

Tech You’ll Use

• SQL
• Python
• Databricks

Experience with web scraping or similar techniques would be a bonus.

Interview Process

1. Initial interview with the Data Manager
2. Technical discussion/assessment (you’ll walk through your approach to data problem-solving and tooling)

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Head of AI Architecture

Retail
Remote – HQ in Delaware
$250,000 – $300,000 + bonus + equity

THE COMPANY

Harnham is partnering with a well-established retail company that is seeking a thoughtful and visionary Head of AI Architecture. In this role, you will champion the organization’s data GenAI, LLM and Machine Learning transformation, shaping how data empowers decision-making across the business. You’ll thrive in a dynamic environment where your leadership will inspire innovation and collaboration.

RESPONSIBILITIES

• Guide the company’s LLM and GenAI initiatives, fostering efficiency, automation, and sustainable growth.
• Work closely with both technical and non-technical teams to design and implement data pipelines that ensure reliable, accessible data for advanced analytics.
• Partner with executive leadership to share clear, actionable insights that influence strategic decisions.
• Lead both customer-facing and enterprise-wide optimization initiatives with a focus on long-term value creation.
• Develop a holistic data strategy that makes the most of decades of organizational knowledge.
• Build, mentor, and empower a machine learning & engineering team to reach their full potential.

SKILLS AND EXPERIENCE

• Proven experience leading large-scale data science transformation projects in retail, supply chain, logistics, or similar industries.
• Background in building teams from the ground up or successfully scaling existing groups.
• Ability to collaborate effectively with senior executives and foster trust-based partnerships.
• Technical expertise architecting machine learning, LLM and deep learning platforms preferred.
• Understanding of MLOps practices for enterprise systems.
• Experience working with operational systems to uncover key data opportunities for analytics.
• Skilled in developing and implementing data strategies and roadmaps that align with organizational priorities.
• Demonstrated inclusive and supportive leadership style, with experience guiding cross-functional teams.
• Exceptional communication and presentation skills, with a talent for making complex ideas accessible to all audiences.
• Masters or PhD degree in Computer Science, Engineering, or related discipline preferred.

BENEFITS

This opportunity includes a competitive base salary, performance-based bonus, equity and a comprehensive benefits package.

HOW TO APPLY

If this opportunity excites you, please share your CV with Tim Jonas via the Apply link on this page.

KEY TERMS

Artificial Intelligence | Generative AI | GenAI | AI | Machine Learning | Retail | Customer Facing | Transformation | Engineering | MLOps | Leadership | Team Building | Executive | Stakeholder Engagement | Innovation

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Manager, MLOps Engineering
$190,000-$220,000 + bonus + RSUs
Legal-tech
2-3 days hybrid – Minneapolis, Minnesota

About the Organization

Join a global company delivering intelligent information and technology solutions to professionals in legal, tax, compliance, and corporate sectors. The team is part of the organization’s innovation hub, focused on applying AI, ML, and data science to create forward-looking tools.

The environment combines the best of both worlds: startup energy with enterprise support. Projects include building agentic systems to automate tax prep and document summarization for legal and financial workflows.

About the Role

This is a player/coach position, focusing on model deployment-ideal for someone with a strong foundation in software engineering and a passion for making machine learning work in the real world. You’ll lead a team of MLOps engineers on experiments, iterate on PoCs, and help define how ML models are deployed, scaled, and maintained in production environments.

What You’ll Bring

• 7+ years of software engineering experience in production environments
• 2+ years of team management experience working with ML systems (Python)
• Experience with ModelOps / MLOps workflows
• Background in:
• NLP: Named Entity Recognition / NER, information extraction, and information retrieval
• Numpy, Pandas, and scalable data handling
• Cloud environments (provider-agnostic)
• CI/CD pipelines, GitFlow, and Agile development
• Logging, alerting, testing, and autoscaling systems
• Strong collaboration and communication skills, including experience working with non-technical stakeholders
• Independent problem-solver with a proactive mindset

Preferred Experience

• Technical leadership on ML products
• Experience delivering LLM-based solutions
• Engineering management experience, including mentoring or leading cross-functional teams
• Familiarity with all stages of the AI product lifecycle
• Startup or fast-paced innovation environment experience
• People management of teams greater than 3

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | MLOps | Production | Machine Learning Operations | AI | Artificial Intelligence | Containerization | PyTorch | Python | Deployment | Deploying | MLFlow | Kubernetes | Kubeflow | ModelOps | NLP | Natural Language Processing | GitFlow | NER | Information Extraction | Information Retrieval

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RISK REPORTING ANALYST

£45,000

REMOTE WITHIN UK

THE COMPANY

This business is a very exciting lender that are rapidly growing and looking for people motivated to be a part of their journey. They are growing their lending book significantly and are focused on becoming a leader in this space. They offer a flexible working model as well as a supportive team.

THE ROLE

• Analysing a wide range of data across the bank’s portfolios to drive insight
• Own the end-to-end preparation of debt sale reports, guaranteeing full alignment with FCA standards
• Stay ahead of the curve by monitoring regulatory changes and driving proactive process improvements
• Track and analyse key risk indicators to uncover potential exposures in lending and collateral portfolios

YOUR SKILLS AND EXPERIENCE

• 5+ years’ experience
• Essential to have strong ability in Python/SQL/SAS AND Excel
• Prior experience in lending, ideally with Credit Cards or Loans
• Strong experience working with risk reporting and FCA guidelines

SALARY AND BENEFITS

• Up to £45,000 base salary
• Pension contribution scheme
• Private Medical care
• Expensed office travel

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

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