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Senior Consultant – Brand Tracking

Location: Flexible / Hybrid

Type: Full-time

The role

The agency is seeking a Senior Consultant to lead brand tracking programmes end to end within a fast-growing startup environment. This role suits someone who enjoys full ownership – from shaping the approach with clients through to delivering insights that directly influence business decisions.

The Senior Consultant will act as a trusted client partner while playing a key role in building and scaling the agency’s brand tracking offer.

Key responsibilities

• Owning brand tracking programmes from design through to delivery
• Leading questionnaire development, methodology selection, and sampling decisions
• Managing fieldwork partners and ensuring high data quality
• Analysing and interpreting tracking data to produce clear, actionable insights
• Developing and presenting compelling reports and dashboards
• Serving as the primary client contact and building long-term relationships
• Identifying opportunities to evolve and improve the agency’s tracking approach
• Providing guidance and quality assurance to junior team members
• Supporting new business pitches and proposals when required

Required experience and skills

• Strong experience delivering brand tracking end to end in an agency environment
• Ability to work independently and confidently make judgement calls
• Advanced analytical capability and insight storytelling skills
• Clear and persuasive written and verbal communication
• Confidence presenting to senior client stakeholders
• Proactive, solutions-oriented mindset
• Comfort operating in a startup agency: pace, ambiguity, and autonomy

Desirable experience

• Experience with dashboards and continuous tracking programmes
• International or multi-market tracking exposure
• Interest in innovation, automation, or new insight delivery models

Why join

• High levels of ownership and autonomy
• Opportunity to shape and scale the brand tracking offer
• Collaborative, low-ego team culture
• Flexible working arrangements
• Strong growth opportunities as the agency expands

Candidates excited by owning brand tracking in a startup agency setting are encouraged to apply.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Data Platform Engineer

UK Remote

Salary: £80,000 – £85,000

This is an opportunity to step into a highly influential Data Platform Engineering role where you will shape, optimise and own a modern Databricks Lakehouse environment. You will play a key role in driving engineering best practice, improving automation and enabling scalable data solutions across a growing data function.

The Company

They are a large, well‑established organisation known for combining deep technical expertise with a people‑first culture. With a nationwide presence and a modern approach to flexible working, they invest heavily in technology, innovation and colleague development. Their data function is expanding and plays a central role in supporting transformation, decision‑making and future AI initiatives. You will join a collaborative team that values engineering excellence, autonomy and continuous improvement.

The Role

As Lead Data Platform Engineer, you will:

* Develop and deploy Databricks Lakehouse platform solutions within Azure.

* Build and maintain automation for clusters, tagging, monitoring and platform operations.

* Architect and design end‑to‑end data platform solutions focused on scalability, security and reliability.

* Lead delivery using Databricks, PySpark, Spark SQL and Azure Data Factory.

* Drive DevOps best practices including CI/CD, automated testing and infrastructure as code.

* Collaborate closely with data engineers, ML engineers and wider technical teams to deliver robust platform capabilities.

* Take ownership of key data platform projects and influence engineering direction.

* Provide technical leadership and ensure standards, patterns and best practices are followed.

Your Skills and Experience

You will bring:

* Strong commercial experience in Azure and Databricks, with deep knowledge of Lakehouse architecture.

* Proficiency in PySpark, Python, SQL and Spark SQL.

* Strong DevOps engineering skills including CI/CD, automated testing and deployment pipelines.

* Experience with monitoring, logging and alerting solutions.

* Ability to design, build and optimise cloud platform solutions.

* Stakeholder management skills and confidence working across multiple teams.

* API development experience.

* Azure Data Factory knowledge is beneficial.

What They Offer

* Salary between £80,000 and £85,000 plus bonus.

* Comprehensive benefits package and annual pay review.

* Flexible by choice working environment with remote‑first culture.

* 35‑hour working week promoting genuine work‑life balance.

* Opportunities to shape platform strategy and contribute to future AI and automation initiatives.

How to Apply

If you are a strong Data Platform Engineer with deep Databricks expertise and want to take ownership of a modern Azure Lakehouse environment, please apply today.

To Apply for this Job Click Here

To Apply for this Job Click Here

Marketing Analytics Manager
London, Hybrid (2-3 days per week in office)
Up to £85,000 + bonus and competitive pension

This is an exciting opportunity to join a high‑growth consumer technology business where data sits at the heart of decision‑making. You will shape marketing measurement for a multi‑million‑pound budget and lead end‑to‑end analytics across MMM, attribution, and incrementality. If you enjoy driving change, influencing senior leaders, and building confidence in complex models, this role offers meaningful impact from day one.

The Company
They are a leading digital marketplace operating at national scale, connecting millions of customers with a diverse network of partners. Operating in a fast‑paced, data‑rich environment, they combine advanced analytics, experimentation, and commercial strategy to optimise performance. Their UK analytics function is well‑established, highly collaborative, and works closely with marketing, product, finance, and senior leadership to guide strategic decisions.

The Role
You will join the Customer Analytics team, reporting into an established analytics leader, and manage one Senior Analyst. Your work spans strategic measurement, optimisation, and influencing investment decisions across a significant marketing spend.

Responsibilities include:
* Leading marketing measurement across MMM, incrementality testing, and attribution.
* Owning the relationship with an external MMM provider and strengthening confidence in the model.
* Connecting MMM outputs with last‑click and multi‑touch attribution to build a unified view of performance.
* Designing and running incrementality tests to validate and optimise spend.
* Evaluating top‑funnel effectiveness and advising on where and how to invest.
* Partnering with senior stakeholders to influence marketing strategy across a £20m quarterly budget.
* Supporting and developing a Senior Analyst while contributing hands‑on to high‑impact projects.
* Working cross‑functionally with analytics, pricing, promotions, and trading teams.

Your Skills and Experience
You will succeed in this role if you bring:
* Strong commercial experience in marketing analytics within a large or complex organisation.
* Expertise in MMM, attribution, and incrementality testing.
* The ability to influence senior stakeholders and lead change across cross‑functional teams.
* Confidence working with significant marketing budgets and ROI‑driven decision‑making.
* Proficiency in SQL; Python is an advantage.
* Strong problem‑solving skills and the ability to structure complex analytical challenges.
* Experience coaching or guiding analysts.

What They Offer
* Salary up to £85,000 depending on experience.
* Discretionary bonus.
* Competitive pension scheme
* Hybrid working, typically 2 days per week in the office.
* Modern central London office with excellent transport links.
* The chance to make a measurable impact within a well‑resourced analytics function.

How to Apply
If this role sounds like the right next step for you, please apply with your CV.

To Apply for this Job Click Here

To Apply for this Job Click Here

Marketing Analytics Manager
London
£80,000 to £90,000 plus benefits
This is an exciting chance to step into a high‑impact Marketing Analytics Manager role where you will shape analytics strategy, lead a small team, and influence commercial decisions across a fast‑paced UK business. If you enjoy using data to drive real trading performance and want ownership, visibility, and genuine progression, this stands out.
The Company
They are a large, well‑established consumer technology business operating at scale within a fast‑moving marketplace. With millions of active users and continuous investment in innovation, they rely on data to evolve their customer experience and deliver commercial growth. You will join a collaborative analytics function that partners closely with senior stakeholders and plays a central role in shaping strategy.
The Role
You will lead the UK marketing analytics agenda while managing a team of analysts. Your work will drive both day‑to‑day optimisation and long‑term strategy. Responsibilities include:
* Implementing analytics strategy across all UK marketing channels to improve visibility, performance, and ROI.
* Owning and delivering key analytical projects that unlock insight and measurable business impact.
* Ensuring reporting accuracy and consistency across performance and partner metrics.
* Developing and managing a roadmap for test and learn activity, including pricing and incrementality initiatives.
* Partnering with senior stakeholders on cross‑functional projects and ensuring alignment on priorities.
* Overseeing a portfolio of analytics work while coaching, supporting, and guiding your analyst team.
Your Skills and Experience
* Strong commercial experience in marketing analytics, driving value across ATL and BTL channels.
* Hands‑on experience with attribution approaches such as multi‑touch attribution and marketing mix modelling.
* Experience designing and executing incrementality testing plans.
* Strong analytical skills across customer experience, personalisation, and channel performance.
* Excellent stakeholder management skills, including presenting to senior leadership.
* Proven experience managing or mentoring analysts.
* Advanced SQL skills and confidence querying large datasets.
* Experience with data visualisation tools such as Tableau, Looker or Power BI.
* Strong problem‑solving capability and the ability to navigate complex, unstructured challenges.
What They Offer
* Salary between £80,000 and £90,000 depending on experience.
* Comprehensive benefits package.
* Clear progression pathways and the chance to make a significant commercial impact.
* A dynamic, innovative environment that encourages development and learning.
How to Apply
If you are ready to take on strategic ownership and lead marketing analytics in a high‑growth environment, apply today.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead AI Scientist

$240,000-$260,000 base + bonus + benefits

Remote

About the Organization

Join a global financial services 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, LLM, 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 tech-lead, model building / development-focused role-ideal for someone with a strong foundation in applied AI research and a passion for making machine learning work in the real world. You’ll own experiments, iterate on PoCs, and help define how ML models are built for in production environments.

What You’ll Bring

• 7+ years of machine learning and NLP / LLM modeling experience in applied research and production environments
• PhD in Computer Science, Computational Linguistics, Statistics or similar highly preferred
• Technical leadership experience required; direct people management a plus
• Experience with LLMs, agentic AI or generative AI for customer-facing applications
• Background in: deep learning or NLP preferred; experience building neural networks like CNNs, RNNs, LSTM, or similar
• Cloud environments (provider-agnostic), AWS or GCP a plus
• Python, PyTorch, TensorFlow, Hugging Face, BERT, RAG experience preferred
• Publication and patent history a plus
• Strong collaboration and communication skills, including experience working with non-technical stakeholders
• Independent problem-solver with a proactive mindset

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 | Applied Research | Production | AI | Artificial Intelligence | Publications | Patents | PyTorch | Python | Deployment | Hugging Face | RAG | Retrieval Augmented Generation | Agents | Agentic AI | Generative AI | NLP | Natural Language Processing | Chatbots | NER | Information Extraction | Information Retrieval

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Machine Learning Engineer

Remote, HQ in New York, New York

$180,000-200,000 base salary + bonus + benefits

Harnham is partnered with a well-known financial services company that is disrupting a key area of financial services. They are building out a proprietary LLM platform that will revolutionize how certain financial tasks are carried out in the cloud. This will be a senior-level ML Engineer in the business and lead all LLM projects from end-to-end.

THE ROLE

• You will be responsible for end-to-end machine learning model development and deployment for the company’s AI platform
• You will report directly to senior leadership and work closely on technical direction
• Own development of new PoCs and quickly build into production, particularly focusing on novel NLP and LLM applications
• You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning infrastructure
• 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

YOUR SKILLS AND EXPERIENCE

The successful Senior Machine Learning Engineer will likely have the following skills and experience:

• 3-5 years of commercial experience (depending on education level) preferred with a focus on building and deploying natural language and LLM models
• Experience working in a fast-moving organization is preferred
• Expertise in Python (TensorFlow, PyTorch) for production-grade work
• Commercial experience building novel NLP and LLM AI platforms with large datasets
• Cloud experience in AWS, Azure or GCP preferred
• History of working on models from concept to production / end-to-end / 0-1
• Experience in settings wearing multiple hats
• Domain experience in financial services, investment or private equity a plus
• History of partnering with non-technical stakeholders required
• Experience as a player/coach or manager for AI teams preferred
• PhD or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar

THE BENEFITS

A competitive base salary of $180,000-200,000 + 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 | Fintech | Financial Services | Fortune 500 | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | NLP | NLU | NLG | Natural Language Processing | Infrastructure | Architecture

To Apply for this Job Click Here

To Apply for this Job Click Here

Principal Data Engineer

Up to £80,000

Leeds (Hybrid)

This is an opportunity to take technical ownership in a growing data function. You will guide engineering standards, lead cloud and platform modernisation, and have influence over future strategy.

THE COMPANY

This established organisation is investing heavily in modern data platforms and scalable engineering practices. With a cloud‑first mindset and a collaborative culture, they are building the foundations for advanced analytics and machine learning.

THE ROLE

In this Principal Data Engineer role, you will:

• Lead the migration to modern cloud platforms, such as Azure which is enabling the business to do Machine Learning and Analytics.
• Mentor and upskill junior engineers, promoting engineering standards.
• Work with Terraform and Databricks to deliver scalable, governed data solutions.
• Support the development of data pipelines.

SKILLS AND EXPERIENCE

The successful Principal Data Engineer will have the following skills and experience:

• Strong commercial experience working with Azure.
• Proficient in Databricks and Terraform.
• Confident mentoring and guiding engineers across teams.
• Exposure to containers and Kubernetes is advantageous.
• Awareness of ML Ops principles is beneficial.

BENEFITS

The successful Principal Data Engineer will receive the following:

• Salary up to £80,000 – depending on experience.
• Competitive benefits

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Marketing Analytics Manager

London, hybrid 2 to 3 days per week, up to 90000 plus bonus and benefits

This is a high impact role where you will lead end to end marketing effectiveness work across multi million pound budgets, driving robust measurement, incrementality testing and attribution strategy. It is an ideal opportunity for someone who enjoys influencing senior stakeholders, improving marketing ROI and bringing clarity to complex data environments.

The Company

They are a well known digital marketplace operating at significant scale, connecting customers with a wide selection of partners and supporting millions of transactions. Their analytics teams play a critical role in understanding performance, optimising spend and shaping commercial decision making. With a large, established analytics function and strong leadership support, they are now expanding their marketing measurement capability.

The Role

* Lead marketing analytics and measurement work across channels including top of funnel
* Manage a Senior Analyst and oversee delivery across MMM, incrementality testing and attribution
* Work with a third party MMM provider to build confidence in models and translate outputs into strategy
* Design incrementality tests and link learnings with last click and other attribution signals
* Partner with marketing and commercial stakeholders to optimise spend and justify investment across multi million pound budgets
* Collaborate with cross functional teams to drive data driven decision making and embed best practice

Your Skills And Experience

* Strong commercial experience in marketing analytics and measurement
* Hands on exposure to MMM, attribution and incrementality testing
* Confident SQL skills and familiarity with Python
* Experience operating in large, complex organisations with multiple stakeholder groups
* Ability to lead discussions with senior teams and influence marketing strategy
* Comfortable managing analysts and driving best practice across measurement

What They Offer

* Salary up to 90000 plus 10 percent discretionary bonus
* Hybrid working with two to three days per week in their central London office
* Generous pension contribution of up to 12 percent
* Opportunity to shape marketing effectiveness across substantial budgets
* Clear scope for long term progression within a large analytics organisation

How To Apply

If this sounds like your next step, apply today to learn more.

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