The Data And AI Podcast

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Staff ML Engineer

New York, New York – hybrid

$225,000 – $250,000 + bonus + LTI; $500,000-$700,000 total

THE COMPANY

Harnham is partnering with one of the most well known financial services companies, which is looking for an experienced AI / ML Engineer. This person will be at the forefront of building AI automation applications for new ways at identifying cost-saving opportunities. You’ll partner with executive teams across the company and own generative AI, LLM and reinforcement learning modeling and deployment.

RESPONSIBILITIES

• Work closely with department heads to align on business goals, define machine learning challenges, and design effective ML solutions.

• Develop and deploy machine learning models, including building data pipelines, orchestrating ML workflows, and optimizing system performance and reliability.

• Maintain a robust codebase by writing well-tested code, covering both functional and non-functional aspects such as unit, integration, and load testing.

• Stay informed on industry trends and advancements in generative AI, LLMs, agentic AI, deep learning, experiment with new model concepts, and run both offline and online evaluations.

• Actively share knowledge through internal presentations, tech talks, and by promoting best practices in engineering and technology use.

SKILLS AND EXPERIENCE

• Advanced degree (Master’s or PhD) in Computer Science, Machine Learning or a related field.

• Over 7 years of hands-on experience developing and deploying production-ready machine learning / deep learning / AI systems, covering the full model lifecycle-training, tuning, deployment, serving, and monitoring.

• Enterprise-level application experience, ideally in real-time preferred.

• Expertise in cloud infrastructure (especially AWS), machine learning orchestration tools like Kubeflow, TensorFlow, and the use of Feature Stores in live environments.

• Experience as a tech-lead for scaling MLE teams preferred.

• Commercial experience combination of big tech and scaling startups / scrappy environments a plus.

BENEFITS

The compensation package contains a base salary, bonus, LTI and a comprehensive benefits package.

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page.

KEY TERMS

Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time | Enterprise | Statistics | Mathematics | Financial Services | Banking | Python | Anomaly Detection | Fintech | Agentic AI | AI Agents

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Senior Computer Vision Scientist

Fully Remote – HQ in New York, New York

$190,000-210,000 base salary + equity

THE COMPANY

Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI, multimodal computer vision and LLM applications to advance capabilities in medical claims and medical imaging in hospitals. The AI science team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

THE ROLE

• You will be responsible for computer vision and multimodal model research, building and development for the company’s agentic AI product across imaging centers and hospitals
• You will report directly to senior leadership and work closely on technical direction
• Own applied AI research and quickly build into production, particularly focusing on novel AI, computer vision and LLM applications
• You will directly work with production team on implement and design code and build out to production using various machine learning, imaging and LLM techniques, owning machine learning modeling
• You will play an integral role of building out the AI team and scaling out its product
• Act as a thought leader role for AI across the business, mentoring junior team members

YOUR SKILLS AND EXPERIENCE

The successful Senior Computer Vision Scientist will likely have the following skills and experience:

• 5+ years of commercial experience preferred with a focus on applied machine learning and computer vision research, building production-grade models with NLP and LLMs ideally with voice, image and multi-modal systems
• Experience working in a scaling startup is preferred
• Expertise in Python (TensorFlow, PyTorch) for production-grade work
• Commercial experience building novel AI platforms with large datasets
• History of working with and managing real-time AI applications in production settings
• Cloud experience in AWS, Azure or GCP
• DevOps exposure with CI/CD pipelines preferred
• History of working on models from concept to production / end-to-end / 0-1
• Applied research background in a commercial setting required
• Publication and/or patent history highly preferred
• Experience in settings wearing multiple hats
• Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred
• History of partnering with non-technical stakeholders required
• Experience owning projects
• PhD degree in Medical Imaging, Computer Science, Biomedical Imaging or similar

THE BENEFITS

A competitive base salary of $190,000-210,000 + benefits + equity

HOW TO APPLY

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

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | Applied Research | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | PyTorch | TensorFlow | Publications | Patents | Computer Vision | Medical Imaging | MRI | Multimodal

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AI Systems Engineer

£60,000-£95,000

Remote UK

This is an exciting opportunity to join a growing organisation investing heavily in AI innovation. You will build impactful AI solutions end to end, shaping production systems that support both internal teams and customer-facing products.

The Company
They are a technology-led organisation with a strong focus on scalable, secure, and responsible AI development. Their teams work collaboratively across data, engineering, and product functions, with a clear roadmap to modernise systems and develop new AI-driven capabilities.

The Role
* Develop and deploy AI and LLM-powered systems, from experimentation to production.
* Build RAG pipelines, agentic workflows, and intelligent automation tools.
* Design and maintain microservices for summarisation, extraction, forecasting, and other use cases.
* Work closely with engineering and product teams to integrate AI features into scalable applications.
* Ensure reliability, observability, and governance across all AI systems in production.
* Operate cloud-based AI infrastructure within AWS, supporting automation, monitoring, and CI/CD processes.

Your Skills and Experience
* Strong commercial experience in Python and modern software engineering practices.
* Proven capability building LLM applications, agents, or RAG solutions.
* Experience designing APIs and microservices using frameworks such as FastAPI or Flask.
* Hands-on exposure to AWS services used for AI and production deployment.
* Familiarity with evaluation, observability, or monitoring tools for LLM systems.
* Ability to collaborate effectively in cross-functional tech environments.

What They Offer
* Hybrid working with flexibility.
* Clear technical progression and opportunities to lead on new AI initiatives.
* A supportive, forward-thinking environment where you can shape innovative AI products.

How to Apply
If this sounds like the right next step, apply today to begin the conversation.

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Head of Martech Solutions Practice
London (Hybrid) | £80,000 – £90,000 + commission for new business/upsell

This is a stand-out opportunity to take ownership of a growing Martech solutions practice, shape the vision, and still stay close to the technology. You will combine CDP, CRM and data expertise with consultative client work, while building and mentoring a small but capable team.

The Company
They are a specialist Martech consultancy with a boutique feel and big ambitions. Working with a mix of enterprise brands and leading vendors, they help clients get real value from their Martech investments, across both technical implementation and commercial use cases. Their UK team is small and collaborative, supported by an established offshore function. This is a key leadership hire as they scale their solutions offering and explore how AI can transform client outcomes.

The Role
You will:

• Lead the Martech Solutions Practice, owning the delivery of client projects across CDPs, CRMs and related tools.
• Act as a hands-on expert, able to support with configuration and activation when needed.
• Work consultatively with senior stakeholders to diagnose Martech challenges and design practical roadmaps.
• Oversee solution architecture across CDP, CRM and data warehouse environments, ensuring data flows support effective audience activation.
• Explore and define how agentic AI can be applied to improve customer experience and marketing performance, and educate clients on its use.
• Mentor and support a small UK team, while helping to coordinate work with offshore colleagues.
• Shape the long-term practice strategy, including the types of skills and roles to hire as the team grows.
• Contribute to partner go-to-market offerings, such as packaged solutions with leading Martech vendors.

Your Skills & Experience
You will have:

• Strong commercial experience working with Customer Data Platforms, ideally including tools such as Tealium or Adobe.
• Solid hands-on exposure to CRM and lifecycle marketing platforms, for example Braze or Salesforce.
• Very good understanding of how data warehouses integrate with CDPs and CRMs, and how data should be modelled for activation.
• Proven ability to translate complex technical detail into clear, commercially focused recommendations for clients.
• Comfort being client facing, running workshops, discovery sessions and stakeholder interviews.
• The ability and willingness to be hands-on with configuration and troubleshooting when required.
• Curiosity about the Martech landscape, including how AI and automation can be practically applied.
• An interest in people leadership and a desire to grow and develop a small team.

What They Offer

• Salary in the range of £80,000 – £90,000 depending on experience.
• Commission for bringing in new client work or upselling additional projects.
• Hybrid working with 1-2 days per week expected in London (office and client sites), with flexibility for more remote working.
• The chance to shape a growing practice, influence vendor partnerships and build your own team around you.
• Exposure to a variety of clients and projects, from technical problem solving to high-level strategy.

How to Apply
If you are excited by leading a Martech solutions practice in London and want to combine hands-on CDP/CRM work with strategy and team growth, please apply with your CV to find out more.

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Senior Data Scientist

A great opportunity to join a team building advanced conversational AI and NLP products for financial services. This role is ideal if you enjoy modern LLMs, problem solving, and bringing machine learning models into production.

The Company
They are a growing data and AI organisation developing conversational tools, data assistants, and NLP solutions for analytics and trading teams. Their work spans LLM fine tuning, automation, and website chatbots, supported by strong engineering and DevOps functions. They operate an AWS environment and encourage collaboration across teams.

The Role

• Build and fine tune LLMs and NLP models for analytics and conversational products.
• Apply mathematical and quantitative thinking to financial use cases.
• Develop ML pipelines, model evaluation processes, and production ready code.
• Work with engineers to deploy models in AWS.
• Support and guide mid level Data Scientists.

Your Skills and Experience

• Strong commercial experience in Python, machine learning, and NLP.
• Hands on work with LLMs, fine tuning, and modern ML tooling.
• Ability to understand quantitative concepts for trading and financial analytics.
• Experience working in cloud based engineering environments, ideally AWS.
• Comfortable collaborating with cross functional teams.

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AI Engineer
London. Hybrid working. Competitive salary with meaningful carry-based upside.

This is an opportunity to build production AI products end to end in a small, elite engineering team. You will work at startup pace, ship real systems to real customers, and build a portfolio of high-impact AI products across multiple industries in a short period of time.

The Company

They are an AI product incubator inside a well-established B2B software investment environment. The team partners directly with portfolio companies to define AI product strategy, build full-stack applications, and deploy them to enterprise customers. With an existing customer base and strong technical resources already in place, engineers gain the ownership and speed of a founding team without the risk profile of an early-stage start-up.

The Role

You will join a hands-on engineering group responsible for building AI products from concept to production, including:
* Designing and delivering full-stack AI applications, from infrastructure and backend services to polished user interfaces.
* Developing Python and FastAPI backends, React and TypeScript frontends, and cloud-native systems using Kubernetes and AWS.
* Deploying and optimising GenAI and LLM-powered capabilities, including agents, evaluation frameworks and observability.
* Working directly with senior leaders across portfolio companies to shape product direction and influence technical strategy.
* Operating in 0-to-1 environments, embedding into teams for focused delivery sprints before moving on to the next product build.
* Solving complex real-world AI challenges in environments with legacy systems, imperfect data and high reliability needs.

Your Skills and Experience

You will thrive in this role if you bring:
* Strong experience shipping applied AI products into production, not just proofs of concept.
* Full-stack engineering capability across backend, frontend and cloud infrastructure.
* Practical experience deploying GenAI or LLM-driven applications in live environments.
* Comfort working at pace in ambiguous, high-ownership environments such as start-ups or founding teams.
* Clear communication skills and confidence working with technical and non-technical stakeholders, including C-suite.
* A proactive, product-focused approach, creating specifications rather than waiting for them.

What They Offer

* Competitive salary.
* Meaningful carry participation with financial upside linked to the products you help build.
* Hybrid working with three days per week in the office.
* Exposure to multiple industries and the opportunity to build several AI products early in your career.
* A flat, collaborative structure with direct access to senior leadership.
* The pace and ownership of a start-up with the stability of an established investor-backed platform.

How to Apply
If you want to build real AI products at scale across London or New York and enjoy working in fast-moving, high-impact environments, please apply with your CV.

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Applied AI Engineer

London (hybrid, three days per week onsite).
Competitive salary between £140,000 and £150,000.

This is an exciting opportunity to join an elite AI product team operating with the pace of a startup and the scale of a major software group. You will build production AI systems end to end, deploy into real customer environments, and accelerate your learning faster than almost anywhere else in the market.

The Company

They are an AI product incubator embedded within a large, well‑established B2B software investment environment. Their mission is to partner with portfolio companies to design, build, and ship AI products that have immediate commercial impact. Working in focused sprints, they deliver production systems into businesses across fintech, enterprise SaaS, and B2B services. The team is deliberately small, high‑performing, and structured to give engineers real ownership from day one.

The Role

• Build full‑stack, production AI applications from first architecture through to customer‑facing delivery.
• Develop backend, infrastructure, and frontend components using Python, FastAPI, React, TypeScript, and cloud platforms.
• Deploy GenAI and LLM‑based systems, including evaluation, observability, and agent‑based workflows.
• Operate in cross‑functional pods embedded into portfolio companies, typically for multi‑month build cycles.
• Work with technical and commercial leaders to define product direction and ship quickly in high‑velocity environments.
• Translate complex AI capabilities into scalable, reliable, revenue‑generating products.

Your Skills and Experience

• Strong commercial experience delivering end‑to‑end AI products into production environments.
• Broad engineering capability across backend, cloud infrastructure, and frontend development.
• Hands‑on experience with GenAI, LLM deployment, and production‑grade ML tooling.
• Comfortable working in ambiguous, fast‑moving settings such as startups or high‑intensity engineering teams.
• Confident communicating with both technical and non‑technical stakeholders, including senior leadership.
• A proactive, 0‑to‑1 mindset with the ability to set direction rather than wait for specifications.

What They Offer

• Competitive base salary.
• Meaningful carry and long‑term upside.
• Hybrid working across London or New York, with flexibility to engage with portfolio teams.
• Significant ownership, rapid progression, and direct exposure to C‑Suite stakeholders.
• The opportunity to build multiple AI products across different industries, accelerating your development in a way few roles can match.

How to Apply

If you are excited by the chance to build real AI products at scale, please apply with your CV.

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Lead Product Manager

London. Up to 110000 base plus bonus and benefits.

This is a rare opportunity to take ownership of AI and machine learning product strategy within a high-growth consumer fintech. You will lead the discovery, scoping and implementation of intelligence-led experiences across a platform used by more than a million customers, with full autonomy to shape how AI enhances journeys, recommendations and personalised guidance.

The Company
They are a mission-led consumer finance business with a rapidly scaling mobile app and a strong reputation for customer-centric product design. After significant growth, they are now investing heavily in AI and ML for the first time and are building out new capabilities to deliver more personalised, context-aware experiences. You will join a collaborative product organisation based in London, working closely with engineering, data and decisioning teams.

The Role
You will:
* Define where and how AI and ML can be applied across the customer journey to drive personalisation and intelligent guidance.
* Lead end-to-end product management, from problem identification through to delivery and measurement.
* Provide strategic direction to teams with limited AI experience and champion best practices.
* Partner with engineering, design, data and decisioning teams to scope opportunities and define requirements.
* Drive systems-level thinking across journeys, ensuring intelligence is embedded consistently and effectively.
* Influence senior stakeholders and shape the long-term AI product roadmap.

Your Skills and Experience
You will bring:
* Strong experience delivering AI or ML‑enabled features in consumer mobile apps.
* A background in end-to-end product management with a focus on personalisation, recommendations or intelligent automation.
* The ability to think in systems and design experiences that span multiple journeys.
* Strong collaboration skills and confidence working with data, engineering and leadership teams.
* An individual contributor mindset with high influence and strategic ownership.

What They Offer
* Salary up to 110000 plus a 15 percent bonus and a comprehensive benefits package.
* Hybrid working with two days a week in their London office.
* High strategic impact as the first product hire dedicated to AI and ML.
* The chance to shape greenfield AI capability across a major consumer platform.

How to Apply
If you are a consumer-facing Product Manager with experience delivering AI or ML features and want to take ownership of a transformative roadmap, apply today.

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