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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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Senior Ruby Engineer

Scale-Up Tech Company – Remote (Anywhere in the world)

Up to £80,000

Are you ready to take your career to the next level? We’re working with one of the fastest-growing tech companies in the world, and they’re on the lookout for an experienced Senior Ruby Engineer to join their expanding team. This is a chance to build and scale products used by millions globally, in an environment that thrives on innovation, ownership, and speed.

Why this role?

• Join a high-growth scale-up with 30M+ users and bold ambitions for the future.

• Be part of a tight-knit engineering team, working directly alongside the CTO and product leads.

• Contribute to building large-scale, user-facing products at the cutting edge of AI and digital experiences.

• Play a pivotal role in shaping the technical roadmap and experimenting with new ideas.

What you’ll be doing:

• Leading back-end development with a strong focus on Ruby on Rails.

• Collaborating with product managers to refine specs and shape solutions.

• Preparing integration plans, estimations, and delivering high-quality, production-ready code.

• Reviewing PRs, ensuring best practices, and mentoring mid-level engineers.

• Driving innovation while maintaining a strong user-first mindset.

What we’re looking for:

• 5+ years’ experience as a back-end or full-stack engineer, with recent, hands-on Ruby on Rails expertise.

• Proven experience scaling products used by thousands (or millions!) of users.

• Strong background in agile, fast-paced environments (start-ups, scale-ups, or similar).

• Excellent communication skills and fluency in English.

• Ownership mentality – someone who takes pride in building and delivering great products.

• Comfortable working on products that may involve uncensored or NSFW content.

✨ Nice-to-haves:

• Knowledge or interest in generative AI, NLP, ML, or MLOps.

• Experience working with globally distributed teams.

Salary & Perks:

• Up to £80,000 base salary.

• Fast-paced, innovative culture with a global reach.

• Work alongside founders with proven track records of building and scaling successful businesses.

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Role: Data Engineering Manager
Salary: £110,000 – £120,000 + 10% bonus + share options
Location: Central London – 1 day per week in the office (Hybrid)

Our client, a fast-growing product-led business in the insurance and financial services sector, is looking for a Data Engineering Manager/Head of Data Engineering to lead and scale their data team. The company leverages real-world behavioural and location data to power next-generation insights for underwriting, credit risk, and product innovation.

You’ll define the data platform strategy, modernise infrastructure, and enable large-scale data processing to support analytics and machine learning use cases. Leading a team of four Data Engineers, you’ll combine strategic vision with hands-on technical leadership in a fast-paced, high-growth environment.

The role will involve:

• Defining and delivering the data engineering roadmap
• Architecting and modernising data platforms for scale and reliability
• Building pipelines for large-scale behavioural and GPS data
• Driving best practices across CI/CD, infrastructure-as-code, and governance
• Mentoring and growing a high-performing team

What you’ll bring:

• 5+ years in data engineering, with 2+ years in a leadership role
• 60% hands-on technically/40% hands-off leadership and strategy
• Proven experience designing scalable data architectures and pipelines
• Strong Python, SQL, and experience with tools such as Airflow, dbt, and Spark
• Cloud expertise (AWS preferred), with Docker/Terraform
• A track record of delivering in fast-paced, scale-up environments

Nice to have:

• Experience with streaming pipelines, MLOps, or modern data architectures

This is a great opportunity to join a well-funded, high-growth business where you’ll shape data strategy, build modern infrastructure, and directly influence product innovation at scale.

Apply today or get in touch for more details.

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Senior Data Scientist – Manchester or London

We are working on an exciting role with a scale up SaaS company who are seeking a Senior Data Scientist in Manchester or London.

The Role
We’re seeking a skilled professional with a background in data science and machine learning to contribute to the development of systems that support critical business goals, including fraud detection. You’ll work with large datasets, help build scalable solutions, and collaborate with various teams to ensure models remain effective and reliable.

Responsibilities

• Develop and deploy ML models to detect bot and fraudulent traffic
• Lead research and prototyping of new detection methods
• Monitor model performance and address drift or false positives
• Collaborate across teams to turn insights into product features
• Ensure compliance, scalability, and reliability of ML systems

Skills Required

• Proven experience with ML in production environments
• Strong skills in Python, SQL, and AWS (SageMaker, Lambda, etc.)
• Familiarity with MLOps and real-time data applications
• A pragmatic mindset and strong problem-solving ability
• Background in adtech or fraud detection is a bonus

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Senior Machine Learning Engineer
Dublin
€90,000-€150,000

This is a great opportunity to work for an all-in-one AI-first customer service platform – they’re heavily investing in their Machine Learning team so it’s a great time to join.

THE ROLE

As a Senior Machine Learning Engineer for the business you will:

• Working with the Machine Learning Scientists to deploy their models into production and
• Maintain models in production, testing them and making sure they run properly
• Run production ML infrastructure

SKILLS AND EXPERIENCE

• PhD / Master’s Degree in Computer Science, Maths, Engineering or AI etc
• Strong commercial experience as a Machine Learning Engineer/MLOps Engineer
• Understanding of Software Engineering principles
• Good communication skills
• Tech: Python, SQL, AWS

SALARY AND BENEFITS

• Basic salary €90,000-€150,000
• Dublin-based with hybrid working, x2 days per week in the office
• Up to 8% bonus depending on level and peformance
• Benefits package
• Relocation package

HOW TO APPLY

Please register your interest for this role by sending your CV to Rosie O’Callaghan via the apply link on this page

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Lead Data Scientist – ML Focused

Hybrid- UK

Up to £90,000 + Benefits

About the Role

We’re hiring a Lead Data Scientist to join a fast-growing, specialist data consultancy delivering high-impact solutions across sectors such as energy, public sector, manufacturing, and health. You’ll play a key role in solving complex challenges using cutting-edge ML or GenAI approaches, working end-to-end across projects in a client-facing capacity. This is a leadership position, ideal for someone who thrives in a consultancy environment and wants to deliver real-world impact.

Key Responsibilities

• Design and deliver data science solutions end-to-end, from discovery through deployment.
• Lead project teams, mentor junior colleagues, and manage delivery standards across multiple workstreams.
• Communicate complex findings clearly to senior stakeholders and clients.
• Support business development through proposal writing and pre-sales work.

We’re looking for someone with:

• Proven experience delivering data science projects in a consultancy setting.
• Strong Python skills with experience in ML or GenAI (e.g. LLMs, prompt engineering, optimisation).
• Excellent communication and stakeholder management abilities.
• A track record of managing teams and shaping development roadmaps.
• experience with cloud environments (AWS, Azure, GCP), and familiarity with MLOps lifecycle or solution architecture.

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MLOps Engineer
London
£60,000-£70,000

About the Role:
Join a cutting-edge technology company at the forefront of immersive experiences powered by machine learning and extended reality. We are seeking a skilled MLOps Engineer to help build, deploy, and maintain scalable machine learning infrastructure that drives innovation in our products. You will play a critical role in developing scalable ML infrastructure that powers immersive XR applications with real-time 3D content.

Key Responsibilities:

• Design, develop, and maintain scalable MLOps pipelines tailored for XR applications, ensuring smooth deployment and monitoring of machine learning models.
• Collaborate closely with 3D artists and XR developers to integrate machine learning workflows with 3D rendering engines.
• Optimize ML models and workflows for real-time inference within 3D environments and XR platforms.
• Manage cloud infrastructure and automation tools to support continuous integration and continuous deployment (CI/CD) of ML models.
• Troubleshoot and resolve performance bottlenecks related to ML inference and 3D rendering workloads.
• Develop monitoring solutions to track model performance and system health in production.
• Stay up to date with the latest trends in MLOps, XR technologies, and 3D rendering techniques to propose innovative improvements.

Qualifications:

• Proven experience as an MLOps engineer or similar role with a focus on 3D applications
• Strong programming skills in Python, and familiarity with ML frameworks (TensorFlow, PyTorch, etc.)
• Expertise in 3D reconstruction and rendering
• Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker)
• Excellent problem-solving skills and ability to work cross-functionally in a fast-paced environment

Please register your interest for this role by sending your CV to Rosie O’Callaghan via the apply link on this page

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AI Engineer – Remote

We’re hiring an AI Engineer to help design and build cutting-edge AI solutions with a focus on document intelligence. You’ll play a key role in embedding GenAI across the business, starting with tools to support verification teams in extracting and reasoning over complex documents.

This is a hands-on engineering role with a strong focus on LLM-based systems and clean, production-grade Python development.

Responsibilities:

• Build rapid MVPs and evolve them into production-ready services.
• Develop and maintain shared Python libraries with strong architecture, testing, and CI/CD standards.
• Design and deploy LLM-based extraction, RAG, and agent workflows across large document sets.
• Work closely with both technical and non-technical stakeholders.

Required:

• Expert in Python coding
• Solid grounding in software engineering best practices: CI/CD, automated testing, observability.
• Experience with multi-modal AI (e.g. layout understanding, VLMs, agentic workflows).
• Comfortable prototyping quickly (Streamlit, Dash) to test ideas.
• Familiar with MLOps tools like MLflow and model monitoring.
• Strong communicator who can work across teams.

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Senior Research Engineer

London/Amsterdam (Hybrid/Remote) – Up to £150,000

Join a leading proprietary trading firm that provides liquidity in the securities market by using high frequency and quantitative trading strategies.

Responsibilities:

• Take the lead in building and rolling out our research framework to train models using different optimisation techniques
• Help connect those models to their platform so they can run smoothly in production
• Build tools and frameworks that their Quant Researchers and Traders use to test ideas and fine-tune data-driven trading strategies
• Collaborate closely with the business side to understand needs, gather feedback, and improve their research tools over time.

Requirements:

• PhD or MSc Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• 5+ years of hands-on experience in MLOps and Research Engineering
• An ability to work full-stack with data; some data engineering experience is a big plus
• Strong coding skills in Python
• Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.

How to Apply:

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

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Director of Data Science – Audit & Regulatory

Location: 2-3 days/week hybrid in New York, New York

Compensation: $250,000 – $275,000 base salary + bonus + equity

ABOUT THE COMPANY

We are partnered with a high-growth financial services company at the intersection of AI, tax, and compliance, which is fundamentally transforming how regulated industries leverage language models and machine learning. This organization is building sophisticated NLP/LLM systems to streamline complex workflows for legal and financial professionals.

With executive-level support and increasing product demand, they’re seeking a Director of Data Science to lead strategy, research, and engineering execution across NLP and LLM initiatives for tax, compliance and auditing projects. This is a rare opportunity to drive technical vision, shape an elite ML team, and build impactful AI systems from the ground up in a regulated space.

THE ROLE

As Director of Data Science, you’ll be responsible for setting the long-term machine learning roadmap, leading technical teams, and ensuring the successful development and deployment of scalable NLP solutions. You will report directly to the Head of AI and work closely with executive leadership, product, and engineering.

Key Responsibilities:

• Define and align AI solutions with tax, audit, and compliance strategies to meet business goals and regulatory requirements.

• Build and manage a high-performing team focused on AI-driven tax, audit, and compliance innovations.

• Oversee end-to-end model development, ensuring AI solutions support regulatory adherence and operational efficiency.

• Collaborate with product, legal, engineering, and finance teams to design scalable, compliant AI solutions.

• Research and implement emerging LLM and NLP technologies to optimize tax reporting, auditing, and compliance processes.

• Represent the company in industry discussions, advocating for ethical AI and best practices in financial services.

• Ensure AI models are continuously monitored, optimized, and updated to meet changing regulations and business needs.

• Implement MLOps frameworks to ensure secure, transparent, and auditable AI deployments in financial operations.

• Champion data privacy, security, and compliance within AI models to adhere to regulations like GDPR and AML/KYC.

• Drive the development of AI tools that automate tax, audit, and compliance workflows, enhancing accuracy and efficiency.

YOUR SKILLS AND EXPERIENCE

Required Qualifications:

• 10+ years of experience in machine learning and data science, with at least 4+ years in a leadership or managerial role.
• Comfortable leading teams of 15+ data scientists and machine learning engineers
• Demonstrated success building and leading teams that develop and deploy NLP/LLM models at scale.
• Deep expertise in Python, ML frameworks (e.g., PyTorch, TensorFlow), and modern NLP tools (e.g., Hugging Face Transformers, spaCy).
• Experience designing and implementing ML systems in production, especially with large language models (e.g., GPT, BERT, T5).
• Extensive tax, compliance and/or audit domain experience.
• Comfortable with regulatory compliance processes, risk management, data privacy.
• Familiarity with the SEC, FCA and FINRA preferred
• Proven ability to align technical initiatives with business goals, working cross-functionally with product and exec teams.
• Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and scalable ML pipelines.
• PhD or Master’s degree in Computational Linguistics, Computer Science, Engineering, or a related technical field.
• Publication or open-source contributions in NLP/ML domains (e.g., ACL, NeurIPS, ICLR, EMNLP) a plus.

THE BENEFITS

• Senior-Level Management Compensation: $250,000 – $275,000 base + bonus + tangible equity.
• Hybrid Work Culture: 2-3 days/week in office in New York.
• Elite Talent Environment: Collaborate with top-tier researchers, engineers, and domain experts.
• Comprehensive Benefits: Full health, dental, vision, 401(k), and wellness programs.
• Strategic Impact: Lead a core function at the center of the company’s long-term success.

HOW TO APPLY

Submit your resume to Tim Jonas via the Apply link on this page. We’re excited to connect with experienced ML leaders ready to guide cutting-edge AI development in a deeply impactful space.

KEYWORDS:

Director | Machine Learning | NLP | LLMs | AI Leadership | ML Strategy | Deep Learning | Natural Language Processing | AI Platforms | NLU | NLG | Information Retrieval | Large Language Models | Legal Tech | Financial Services | Model Deployment | Engineering Management | AI Infrastructure | Hugging Face | Generative AI | Enterprise AI | Tax | Accounting | Audit | Auditing | Compliance | Regulatory | Risk Management | Data Privacy | Governance

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Position: Research Engineer

Location: Amsterdam

Employment Type: Full-time

About Us

This organisation are a cutting-edge technology company in the finance and trading space, they are dedicated to solving complex challenges through research, experimentation, and innovation. Our work sits at the intersection of advanced algorithms, scalable engineering, and practical product impact. They turn ambitious ideas into real-world solutions-and we’re looking for a Research Engineer to join us on that journey.

The Role

As a Research Engineer, you’ll bridge the gap between exploratory research and production-grade engineering. You’ll prototype new concepts, develop proof-of-concepts, and help translate research breakthroughs into deployable, scalable solutions. You’ll work closely with scientists, engineers, and product teams to bring next-generation technology into the hands of our

customers.

Key Responsibilities

• Design and implement prototypes to validate research ideas.
• Collaborate with research scientists to explore new algorithms, architectures, and data-driven methods.
• Transform promising prototypes into production-ready systems in collaboration with engineering teams.
• Contribute to technical publications, patents, and internal knowledge sharing.
• Stay up to date with emerging research, tools, and technologies relevant to our domain.
• Work with ML Ops
• Also working with machine learning
• Testing new solutions
• Working with Python

Skills & Experience

• Strong programming skills in Python, C++, or similar languages.
• Experience with applied machine learning, optimisation, or algorithmic development.
• Solid understanding of data structures, distributed systems, or performance optimisation.
• Ability to work across the full development cycle-from concept to deployment.
• Strong problem-solving skills and a creative, experimental mindset.

Nice-to-Have

• Experience with GPU computing (CUDA, TensorRT) or cloud environments (AWS, Azure, GCP).
• Familiarity with MLOps tools, model deployment, or scaling ML in production.
• Track record of academic publications, patents, or open-source contributions.

What They Offer

• Competitive salary and benefits.
• Flexible, hybrid or remote-first working options.
• Opportunity to work on high-impact, forward-looking projects.
• Dedicated time for learning, exploration, and skill development.
• A collaborative environment where curiosity and innovation are valued.

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