The Data And AI Podcast

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AI Engineer
London, onsite
Up to £185,000 plus equity

This is a role for someone who wants to move fast, build advanced AI products, and see their work used by real customers. You will work at the heart of a high‑growth environment where your engineering decisions directly shape the next generation of AI tools in the intellectual property space.

The Company

They are a rapidly scaling organisation using applied AI to transform complex legal and technical workflows. Their platform is trusted by global IP teams and continues to grow at pace, supported by strong commercial traction and significant investment. With ambitious plans to expand their London presence, they are building a technical team that values ownership, speed, and high‑quality engineering.

The Role

* Build and deploy production‑ready AI models for IP‑focused workflows.
* Develop evaluation pipelines that guide research direction and model performance.
* Apply advanced prompting techniques to improve output quality.
* Contribute across the engineering stack to ensure smooth integration of AI features.
* Work closely with experienced founders in a collaborative, fully onsite environment.

Your Skills and Experience

* Strong commercial experience in AI engineering or software engineering.
* Deep proficiency with Python and experience delivering production systems.
* Understanding of modern LLM approaches and effective prompt design.
* Confidence working across a wider stack including React, TypeScript, FastAPI, and Postgres.
* Comfortable operating in a fast‑moving, hands‑on engineering culture.
* Experience with cloud infrastructure such as AWS and Terraform is welcomed.

What They Offer

* Up to £185000 base salary, with flexibility for exceptional profiles.
* Equity package offering meaningful ownership.
* Pension scheme, private medical cover, and daily meals provided onsite.
* Visa sponsorship available.
* Strong progression opportunities as the team continues to scale.

How to Apply

If this sounds like the right next step for you, please send your CV to begin the process.

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DATA ANALYST
LONDON/HYBRID
UP TO £50,000

This is an excellent opportunity to join a growing data function within a highly backed, mission‑driven business. You will shape how reporting, dashboards and data foundations evolve as they scale, with clear long‑term opportunities to move into deeper insights and analytics.

ROLES AND RESPONSIBILITIES:
The Data Analyst will:
* Build and maintain high‑quality Power BI dashboards and reports to support KPIs and BAU needs across sales, finance, customer success, operations and marketing.
* Write strong SQL for data extraction, transformation and reporting.
* Support the roll out of Power BI internally and act as a champion for best practice and usage.
* Partner closely with stakeholders to understand requirements, gather detail and produce structured, accurate outputs.
* Analyse trends and performance data to identify opportunities and support decision making.
* Bring structure, organisation and clarity to fast‑moving workloads within a small, collaborative team.

YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:
* Strong commercial experience using SQL for querying, joins and aggregations, with the ability to write clean, efficient code.
* Proven experience building dashboards in Power BI or similar data visualisation tools.
* Comfortable working in smaller, agile environments and contributing across different areas of reporting.
* Strong communication skills, with the ability to gather detailed requirements and explain work clearly.
* Highly organised, structured and able to bring order to ambiguity.
* Positive attitude and willingness to learn, with interest in developing into more insights‑led work over time.

APPLY BELOW!

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Senior Data Scientist

You will build, configure, and continuously improve the models that power our platform-from audience scoring and lookalike modeling to bid optimization and causal measurement-while owning their performance in production. This includes diagnosing model drift, running lift analyses, tuning configurations for client-specific challenges, and feeding field learnings back into the modeling lifecycle. Contextual targeting and NLP-driven modeling are key areas of focus and growth. You will partner closely with engineering, product, and client teams and must be equally comfortable investigating real-world model behavior and prototyping the next iteration. The ideal candidate writes production-grade code, thinks in experimentation frameworks, and understands how digital ad campaigns operate in practice.

Key Responsibilities

Modeling, Experimentation & Production Ownership

• Build, configure, and improve models across Chalice’s core products and own end-to-end production performance
• Design and execute robust experimentation frameworks using real-world campaign data
• Diagnose model drift, performance issues, and edge cases in live environments
• Develop and maintain data pipelines, feature engineering workflows, and model configurations using Python, PySpark, and MLflow on Databricks
• Prototype and deploy agentic AI systems that extend product capabilities

Cross-Functional Collaboration & Product Impact

• Serve as the data science subject matter expert across product and client teams
• Translate model outputs and campaign KPIs into clear, actionable recommendations
• Surface field learnings, feature gaps, and performance insights to inform the DS roadmap
• Contribute to research initiatives, internal tooling, and data science best practices

Required Qualifications

• 5+ years of experience in data science or machine learning roles (Master’s preferred)
• Experience with NLP, contextual modeling, or embedding-based approaches
• Proven ability to write production-grade, testable code beyond notebooks
• Strong proficiency in Python and large-scale data processing (PySpark, SQL)
• Experience with modeling libraries such as PyTorch and scikit-learn
• Hands-on experience working in Databricks and/or AWS environments
• Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders

Nice to Have

• Strong foundation in statistical analysis, causal inference, and experimentation design
• Familiarity with MLflow (experiment tracking and model registry)
• Experience in adtech or digital advertising environments
• Experience building agentic AI workflows, LLM-based systems, or tool-use orchestration
• Familiarity with CI/CD workflows (e.g., GitHub Actions) and software packaging best practices

Our Tech Stack

• ML Frameworks: PyTorch, scikit-learn, Ray (Train, Tune, Datasets), PySpark ML
• Data Platform: Databricks (Delta Lake, Unity Catalog), Snowflake, AWS (S3, EC2)
• MLOps: MLflow (experiment tracking, model registry), GitHub Actions
• Languages: Python, SQL, JavaScript/TypeScript

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Senior Applied AI 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 Applied AI 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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Fraud Analyst
London, hybrid (3 to 4 days in office)
£45,000 to £50,000

A great opportunity to join a fast‑growing lender as they expand into new lending. You will shape fraud controls from the ground up and make a visible impact in a data‑focused, agile environment.

The Company
They are a high‑growth financial services business building modern lending products for the UK market. With strong investment and recent profitability, they are now scaling a new product. You will join a collaborative team where data sits at the centre of decision making.

The Role
* Analyse fraud patterns, behaviours and anomalies.
* Develop, test and optimise fraud rules.
* Report on emerging fraud types across new products.
* Use SQL and fraud tools to generate insights and recommendations.
* Improve fraud processes as they scale their lending portfolio.

Your Skills and Experience
* Strong experience working with fraud data, rules or controls.
* Proficiency in SQL.
* Exposure to tools such as ThreatMetrix or CIFAS is beneficial.
* Comfortable analysing data and providing clear, concise insights.

What They Offer
* £45,000 to £50,000 salary.
* Bonus, pension scheme, private medical
* High visibility, fast decision making and strong progression opportunities.

How to Apply
Apply now to be considered for this opportunity.

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Senior Machine Learning Engineer

Dublin, Ireland

This is a chance to join a growing Machine Learning team at a global digital entertainment business, helping to shape how millions of customers discover and buy content in an online store. You will own high-impact pricing and optimisation models, working with modern ML tooling and strong backing from senior leadership.

The Company

They are a well-established entertainment company that has been innovating for around three decades. Dublin is becoming a key hub for their Machine Learning capability, closely aligned with product and content development teams. They combine the scale and stability of a major brand with the impact and pace of a modern digital platform.

The Role

• Design, build and productionise machine learning solutions that optimise pricing, promotions and customer experience in a large-scale digital store.
• Develop time series and forecasting models to predict demand, revenue and customer behaviour across regions and product lines.
• Build and refine optimisation models using operations research techniques to support pricing, promotional strategies and inventory decisions.
• Work end to end across the ML lifecycle, from problem definition, data exploration and feature engineering through to model training, evaluation, deployment and monitoring.
• Collaborate with product, engineering and commercial stakeholders to translate business objectives into scalable ML solutions.
• Contribute to the technical direction of the Dublin ML team, helping to define best practices, tooling and architecture for ML delivery.

Your Skills And Experience

• Strong commercial experience building and deploying machine learning models in production environments.
• Deep expertise in pricing, optimisation or operations research, ideally with hands-on experience of tools such as Gurobi, CPLEX or similar optimisation libraries.
• Strong skills in Python and modern ML frameworks such as PyTorch and TensorFlow.
• Experience working with time series forecasting, demand modelling, churn or uplift modelling.
• Practical experience of delivering ML solutions on cloud platforms such as AWS, GCP or Azure, including containerisation and deployment using tools like Docker, Kubernetes and CI/CD pipelines.
• Experience in e-commerce, digital platforms or online customer experiences is highly desirable, especially work on recommender systems or search.

What They Offer

• Base salary plus 15% annual bonus and 10% pension.
• Flexible working with remote options in Ireland and regular collaboration with teams in the UK and US, plus occasional visits to the Dublin office.
• Opportunity to join a small, high-calibre ML team in Dublin and play a key role in building out their in-house capability.
• Exposure to complex, high-impact ML problems in pricing, optimisation and customer experience, with clear opportunities for progression and technical leadership.

How To Apply

If you are an experienced Machine Learning Engineer with strong pricing and optimisation experience and you want to shape a high-impact ML function in Dublin, please apply with your CV to be considered.

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