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DATA ENGINEER

£55,000-£60,000 + BENEFITS

PRIMARILY REMOTE UK

An established company in the Media/Advertising spcae is seeking a proactive Data Engineer to join their innovative team as they grow and invest.

THE COMPANY:

This company are currently investing in their data team, and are looking for a Data Engineer to help gather requirements and build solutions. This is an exciting opportunity to help build out the data platforms and create frameworks to enable them ensure data drives value across the business.

THE ROLE:

A Data Engineer will need to:

• Building & maintaining ELT/ETL pipelines
• Work closely with stakeholders across the business
• Own data engineering roadmap
• Manage data warehouse (gathering requirements and building solutions)
• ensure alignment with data management and quality

YOUR SKILLS AND EXPERIENCE:

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

• Ability and experience interacting with key stakeholders
• Strong experience in SQL/Python
• Good understanding of Airflow/DBT
• Experience with GCP/AWS
• Background in CI/CD

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £60,000 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.

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Director of Machine Learning – NLP & LLMs

Location: Fully Remote
Compensation: $300,000 – $325,000 base salary + performance bonus + equity

ABOUT THE COMPANY

We are partnered with a high-growth company at the intersection of AI, legal tech, and financial services, 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 Machine Learning to lead strategy, research, and engineering execution across NLP and LLM initiatives. 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 Machine Learning, 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:

• Strategic Leadership: Define the ML vision and roadmap for NLP and LLM-based solutions, aligned with company goals and customer needs.

• Team Building & Management: Hire, mentor, and manage a team of ML engineers and applied scientists. Foster a high-performing, collaborative environment.

• Technical Oversight: Guide end-to-end model development-from research and prototyping through production deployment, performance monitoring, and continuous optimization.

• Cross-Functional Influence: Collaborate with product, legal, engineering, and design teams to translate business needs into scalable AI solutions.

• Innovation: Stay ahead of the curve in LLM research and NLP advancements. Evaluate and implement new technologies and tools to maintain technical edge.

• Thought Leadership: Represent the company in industry discussions, conferences, and partner conversations. Champion best practices in ethical and responsible AI.

• Operational Excellence: Ensure strong MLOps foundations are in place, including CI/CD, data governance, model monitoring, and security practices.

YOUR SKILLS AND EXPERIENCE

Required Qualifications:

• 10+ years of experience in machine learning and software engineering, with at least 4+ years in a leadership or managerial role.

• 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).

• 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.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field; PhD preferred.

• Publication or open-source contributions in NLP/ML domains (e.g., ACL, NeurIPS, ICLR, EMNLP) a plus.

THE BENEFITS

• Executive-Level Compensation: $300,000 – $325,000 base + bonus + equity potential.

• Remote-First Culture: Work from anywhere in the United States or Canada.

• 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 | MLOps | Legal Tech | Financial Services | Model Deployment | Engineering Management | AI Infrastructure | Hugging Face | Generative AI | Enterprise AI

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Senior Machine Learning Engineer – NLP & LLMs (Mid-Level)

Location: Fully Remote

Compensation: $180,000 – $210,000 base salary + bonus + benefits

ABOUT THE COMPANY

We’re working with a cutting-edge financial services company transforming the legal space through advanced AI. Their mission: to make legal and financial workflows smarter, faster, and more cost-effective by leveraging the latest in natural language processing and machine learning. As they continue to expand their AI capabilities, they’re seeking a Machine Learning Engineer (Mid-Level) to join their growing NLP/LLM team.

This is a great opportunity for someone with solid production-level ML experience who wants to take the next step-working closely with seasoned researchers, engineers, and product leaders to build next-generation AI systems in a high-impact domain.

THE ROLE

As a Machine Learning Engineer, you’ll contribute to the development, deployment, and optimization of NLP models and AI infrastructure. You’ll be responsible for translating cutting-edge research into scalable, production-ready systems and collaborating with teams across engineering, research, and product.

Key Responsibilities:

• Model Development & Integration: Work with senior engineers and researchers to develop and integrate LLMs and NLP models into customer-facing products.
• Production-Ready Code: Build and maintain model pipelines that are scalable, testable, and efficient.
• Data Engineering: Help design and manage data pipelines, labeling workflows, and model training datasets.
• Model Tuning & Evaluation: Assist in prompt engineering, fine-tuning, evaluation, and benchmarking of NLP models.
• Collaboration: Partner with applied scientists and product teams to deliver end-to-end features powered by machine learning.
• Learning & Growth: Expand your skills through mentorship and exposure to cutting-edge NLP/LLM work and tooling.

YOUR SKILLS AND EXPERIENCE

We’re looking for a motivated engineer with a strong foundation in machine learning and an eagerness to grow within a fast-moving team.

Required Qualifications:

• 3-5 years of professional experience building and deploying ML models (with at least 2 years focused on NLP).
• Proficient in Python and familiar with ML libraries like TensorFlow, PyTorch, spaCy, or Hugging Face Transformers.
• Experience with model training, evaluation, and deployment in cloud environments (e.g., AWS, GCP, or Azure).
• Comfortable working with large datasets, data preprocessing, and version control tools (e.g., Git, DVC).
• Knowledge of modern NLP concepts and language model architectures (e.g., BERT, GPT, T5).
• Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s a plus).

Bonus Points For:

• Experience with MLOps tools (e.g., MLflow, Airflow, Kubernetes).
• Previous work with legal, financial, or highly regulated data.
• Contributions to open-source NLP tools or public research.

BENEFITS

• Competitive Compensation: $180,000 – $210,000 base + bonus.
• Flexible & Remote: Work from anywhere in the United States or Canada.
• Health & Wellness: Comprehensive medical, dental, vision, and 401(k).
• Professional Growth: Work alongside experienced engineers and researchers in a high-learning environment.
• Impact: Contribute to real-world AI products used by professionals in law and finance.

HOW TO APPLY

Send your resume to Tim Jonas via the Apply link on this page. We’re excited to meet engineers who want to build meaningful, AI-driven systems in a space that matters.

KEYWORDS:

Machine Learning | NLP | LLM | Deep Learning | Generative AI | Model Deployment | Python | PyTorch | TensorFlow | Hugging Face | Prompt Engineering | ML Pipelines | Legal Tech | Financial Services | AI Infrastructure | Mid-Level Engineer | Scalable AI Systems

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Staff Machine Learning Engineer – NLP & LLMs

Location: Fully Remote
Compensation: $250,000 – $275,000 base salary + bonus + benefits

ABOUT THE COMPANY

We are partnered with a market leader in the legal and financial services industry, driving innovation through AI. This company is revolutionizing how professionals interact with data by integrating cutting-edge NLP and LLM technologies. As their platform scales, they are seeking a highly skilled Machine Learning Engineer to take the lead in developing, deploying, and optimizing advanced AI models that directly impact high-value, high-regulation environments.

This is an opportunity to build mission-critical systems from the ground up and work alongside some of the top minds in AI and law.

THE ROLE

As a Staff Machine Learning Engineer, you will work closely with researchers and the C-suite to design and implement robust machine learning infrastructure and end-to-end NLP/LLM pipelines. You will bridge the gap between experimentation and scalable deployment, contributing to the full lifecycle of AI products.

Your Responsibilities Will Include:

• Model Deployment & Scaling: Engineer and deploy large-scale NLP and LLM models for production environments.

• Infrastructure & Tooling: Build and maintain data pipelines, training workflows, and inference systems optimized for low-latency and high-accuracy.

• End-to-End Development: Take PoCs from research stage to production-grade systems, focusing on performance, reliability, and maintainability.

• Optimization: Improve existing model architectures and fine-tune LLMs using retrieval-augmented generation (RAG), prompt tuning, quantization, and efficient inference techniques.

• Collaboration: Partner with Applied Scientists, Legal SMEs, and Product Leaders to align technical solutions with business and user needs.

• Code Quality: Write clean, scalable, and well-documented code using industry best practices.

YOUR SKILLS AND EXPERIENCE

We are looking for an experienced and versatile Staff Machine Learning Engineer with the following qualifications:

• 5+ years of experience deploying NLP and ML models in production environments.

• Strong software engineering background in Python, with experience using frameworks like TensorFlow, PyTorch, spaCy, Hugging Face Transformers, and more.

• Demonstrated ability to scale models and build distributed training/inference systems.

• Experience working with large datasets and knowledge of data pipelines, MLOps tools (e.g., MLflow, Kubeflow, Airflow), and cloud infrastructure (AWS, GCP, or Azure).

• Deep understanding of NLP concepts and LLM architectures (BERT, GPT, T5, etc.).

• Comfortable working cross-functionally with researchers, product teams, and senior leadership.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (PhD a plus, but not required).

• Bonus: Contributions to open-source NLP projects or publications in applied ML conferences (NeurIPS, ACL, EMNLP, etc.)

BENEFITS

• Top-Tier Compensation: Base salary of $250,000 – $275,000 + annual bonus.

• Fully Remote: Work from anywhere in the United States.

• Ownership: End-to-end responsibility for the models and systems you help build.

• Health & Retirement: Comprehensive medical, dental, vision, and 401(k) plans.

• Research-Driven Culture: Collaborate with world-class researchers and engineers solving impactful real-world problems.

HOW TO APPLY

Interested applicants should submit their resume to Tim Jonas via the Apply link on this page. We look forward to seeing how your engineering skills can help shape the future of legal and financial AI systems.

KEYWORDS:
Machine Learning | ML Engineering | NLP | LLMs | Deep Learning | Large Language Models | MLOps | Python | PyTorch | Hugging Face | TensorFlow | Cloud Infrastructure | Distributed Systems | RAG | Prompt Engineering | AI Platforms | Legal Tech | Financial Services | Applied ML | Model Deployment

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GA4 Enablement Lead
Up to £60,000 + bonus and benefits
Remote – 1x day in London office per month

THE COMPANY
I’m currently recruiting for the Google Analytics 4 (GA4) Enablement Lead for a digital agency in London.

THE ROLE
In this role, you will have the opportunity to advise clients on GA4 implementations and insights, supporting them from proof of concept through to final delivery. This position is ideal for a GA4 expert who is passionate about both the platform and client engagement. While prior agency experience is not essential, the successful candidate will demonstrate a strong enthusiasm for building and nurturing client relationships while serving as a trusted GA4 specialist

SKILLS AND EXPERIENCE
GA4 Implementation and Insight
Prior agency experience is desirable

APPLY
Send an email or apply below to register your interest. Please note my client cannot offer sponsorship

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Senior Insight Analyst

Location: Leeds (Hybrid, 3 days per week in the office)

Salary: £50,000-£57,000

The Company

A leading UK media brand is looking for a commercially-minded Senior Insight Analyst to join their high-performing commercial insights team. The role is focused on analysing advertiser performance across both traditional and digital channels, with the goal of helping shape advertising strategy, media performance, and campaign effectiveness insights.

The Role

As a Senior Insight Analyst, you’ll deliver cross-platform campaign analysis, develop media effectiveness narratives, and support key internal stakeholders with insight-led recommendations. This role sits within the Commercial Insight function, part of a broader analytics and research division, and will work closely with the commercial, sales, and digital teams.

Key Responsibilities

• Campaign & Commercial Insights
• – Evaluate and prove campaign effectiveness including brand lift and ROI.
• – Support campaign performance analysis across TV, VoD, YouTube, and social.
• – Turn complex campaign and media data into actionable insights for business recommendations.
• Cross-Platform & Digital Media
• – Measure and predict performance using survey data and digital metrics.
• – Lead on digital media analysis and provide visibility across VoD, YouTube, and social platforms.
• Stakeholder Engagement
• – Work closely with sales and commercial teams to prioritise briefs and manage requests.
• – Support delivery of around 70-80 studies per year across media evaluation and advertiser insight.

Skills & Experience

• Essential:
• – Experience in media, broadcasting, agency, or advertiser analytics teams.
• – Strong commercial acumen with the ability to translate data into strategic recommendations.
• – Proven experience in campaign effectiveness and media performance reporting.
• – Ability to analyse survey and behavioural data together.
• Desirable:
• – Hands-on with dashboarding tools (Power BI or Tableau).
• – Experience with TechEdge, TGI, Nielsen Ad Spend, or YouTube analytics.
• – Familiarity with SQL, survey tools, and audience segmentation methods.

Benefits

– Salary between £50,000-£57,000

– Hybrid work: 3 days per week onsite in Leeds

– Work on strategic commercial and cross-media projects

– Join a collaborative team with exposure to high-profile advertisers and campaigns

How to Apply

Interested? Send your CV to Mohammed Buhariwala at Harnham via the Apply link on this page.

Keywords

Insight Analyst, Media Analytics, Brand Lift, ROI, Campaign Effectiveness, Power BI, Tableau, YouTube Analytics, SQL, Survey Data, Media Strategy, Hybrid Role, Leeds

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LEAD CREDIT SCORECARD MODELLER

£50,000 – £60,000

LONDON

An established purpose-driven financial services provider is hiring a Lead Credit Scorecard Modeller to develop its credit decisioning and portfolio analytics capabilities. Reporting directly to the CRO, this role combines hands-on modelling with strategic input into credit risk and acquisition strategies.

THE COMPANY

This UK-based organisation delivers lending products with a social mission at its core. With a growing national presence, it leverages data and innovation to increase financial inclusion and deliver sustainable impact. The business blends commercial strategy with meaningful social outcomes, making it an exciting opportunity for someone looking to apply credit risk expertise in a values-driven setting.

THE ROLE

The responsibilities include:

• Leading end-to-end credit scorecard development: data preparation, modelling, variable selection, testing, and implementation
• Monitoring model performance and building dashboards to track KPIs and identify areas for improvement
• Analysing portfolio trends and providing strategic input to improve risk performance and acquisition outcomes
• Supporting the integration of new data sources such as Open Banking and credit bureau data into strategy and modelling
• Ensuring full documentation and compliance with relevant model governance standards

SKILLS AND EXPERIENCE

• 4+ years’ experience building credit scorecards from scratch
• Advanced knowledge of logistic regression and credit modelling techniques
• Experience with model monitoring and portfolio performance analysis
• Strong technical skills in Python, SQL, SAS and R
• Strong communication and stakeholder engagement skills

BENEFITS

• Competitive salary
• Private health insurance
• Employee assistance programme (EAP)
• Interest-free employee loan scheme

HOW TO APPLY

To apply, please send your CV to Dominic via the Apply link on this page.

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Data Engineer – Healthcare (Azure)

Location: London, UK (Hybrid – 2-3 days in office)
Job Type: Permanent
Salary: £60k + Benefits

About the Role:

We’re hiring a Data Engineer to join our healthcare client in London. This is a permanent role with a hybrid working pattern (2-3 days in-office). You’ll build and manage Azure-based data pipelines that support analytics, reporting, and operational systems across clinical and business functions.

Key Responsibilities:

• Develop and maintain Azure data pipelines (Data Factory, Synapse, Databricks)
• Integrate, transform, and manage healthcare data (structured/unstructured)
• Ensure data quality, security, and compliance (GDPR, healthcare regulations)
• Support data lake/warehouse solutions and real-time data needs
• Collaborate with analysts, engineers and stakeholders on data solutions

Requirements:

• Experience as a Data Engineer
• Strong skills in Azure Data Factory, Synapse, Databricks, SQL, Python
• Excellent communication and stakeholder management skills

If you would like to be considered for this, please apply and to follow up email/message on LinkedIn.

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Senior Data Scientist

Location: Remote-first (UK-based)
Salary: £70,000

The Company

A Series D tech scale-up is reshaping the travel and hospitality industries through advanced machine learning and forecasting. Purpose-built for this space, their platform leverages deep learning to drive revenue optimisation, automation, and real-time analytics. With a growing client base of major global travel brands, they’re hiring exceptional talent to push the boundaries of what’s possible in commercial strategy.

The Role

As a Senior Data Scientist within the Forecasting Algorithms team, you’ll design and deploy high-frequency demand forecasting models that directly support pricing decisions. You’ll own the full development lifecycle-from modelling to deployment-while collaborating closely with science, product, and engineering stakeholders.

This is a hands-on role suited to someone who thrives on building, testing, and deploying complex statistical models in a production environment. You’ll work in a modern MLOps setup, contributing to libraries and frameworks used across the company’s data science organisation.

Key Responsibilities:

• Design and deploy time series forecasting models with a strong focus on accuracy and scalability

• Improve existing model performance and drive innovation through new methodologies

• Develop internal ML and forecasting libraries using Python

• Translate product goals into technical solutions in collaboration with leadership

• Implement validation frameworks, unit tests, and monitoring pipelines

• Stay current with advances in machine learning and apply them where appropriate

Tech Stack:

• Python (Pandas, Polars, SciPy, Scikit-learn, NumPy)

• Dagster, Argo, GCP

• Kibana, Elastic

• DevOps-first approach for model deployment

Skills & Experience:

Essential:

• Strong background in statistics, machine learning, and time series forecasting

• Experience with modern ML models (e.g. transformers, CNNs, attention mechanisms)

• Proficiency in writing production-level Python code

• Familiarity with CI/CD practices, testing, and model validation

• Confident working across teams and taking ownership of delivery

• Strong communication and problem-solving skills

Desirable:

• Experience in demand forecasting or operations research

• Familiarity with Bayesian methods, Monte Carlo simulations, or reinforcement learning

• Exposure to high-scale SaaS or B2C products

Why Apply?

• Build forecasting systems powering global commercial strategies

• Collaborate with a world-class data science team

• Up to £70,000 + equity in a high-growth AI company

• Excellent benefits: private healthcare, mental health support, nursery benefit (UK), and generous PTO

How to Apply

To apply, please send your CV to Daniel Abbasi via the Apply link on this page.

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LEAD FULL STACK DEVELOPER

£60,000-£65,000

LEICESTER (Hybrid)

This opportunity is a blend of the strategic and hands on. You will be able to develop products and enhancing existing ones using the latest software engineering tools.

THE COMPANY:

A chance to work with a manufacturing company who have been increasingly invested in growing their data capabilities recently.

THE ROLE:

A Lead Fullstack Developer will need to:

• Develop Node.js code
• Manage a team
• Plan sprints
• Contribute to code reviews
• Ensure Quality Assurance

YOUR SKILLS AND EXPERIENCE:

A successful Lead Fullstack Engineer will have the following skills and experience:

• Experience in Node.js and full stack development
• Understanding of database management – e.g. SQL
• Management & mentoring experience

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £65,000 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

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SENIOR DATA PLATFORM ENGINEER

£75,000-£80,000 + BENEFITS

PIMARILY REMOTE

An opportunity to join a popular telecoms company expanding into new markets!

THE COMPANY:

Over the past few years, this telecoms company has expanded. With a rich data set, they have lots of data to work with and are keen to bring in a Senior Data Platform Engineer to help with enabling real time data processing.

THE ROLE:

A remote working Senior Data Platform Engineer will need to:

• Scale real-time data processing for analytics and automation
• Enhance experimentation frameworks
• Optimise the Martech data ecosystem

YOUR SKILLS AND EXPERIENCE:

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

• Ability and experience interacting with key stakeholder
• Java experience for microservicing
• Streaming experience e.g. Kafka, Kinesis, Flink
• Cloud experience – AWS, Azure, GCP

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £75,000-80,000 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