data & AI
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Senior CRM Manager
London – hybrid 3x a week in office
Salary up to £65,000

This is a rare opportunity to step into a senior, client-facing CRM role where strategy, insight, and delivery carry equal weight. You will play a central role in shaping CRM programmes for well-known brands, acting as a trusted advisor while still staying close to execution and impact.

The Company
They are a fast-growing digital growth agency based in central London, known for combining data-driven insight with creative CRM thinking. The business partners with a wide range of established, high-profile organisations across media, publishing, and consumer sectors. With a strong reputation for quality and a collaborative culture, they offer an environment where CRM specialists can genuinely influence client outcomes.

The Role
As Senior CRM Manager, you will lead CRM projects end to end across a portfolio of clients, balancing strategic direction with hands-on delivery. You will work closely with senior client stakeholders while guiding and supporting more junior team members on projects.

Key responsibilities include:

• Developing multi-channel CRM and contact strategies aligned to commercial objectives
• Managing email, push, and SMS activity, including segmentation, automated journeys, and dynamic content
• Reviewing existing CRM activity to identify opportunities to improve performance and efficiency
• Advising clients on how to maximise value from their CRM and marketing technology
• Supporting CRM platform implementation and migrations where required
• Shaping data strategies to enable better customer understanding and insight
• Analysing campaign performance and turning insight into clear, actionable recommendations
• Building strong client relationships and contributing to account growth

Your Skills and Experience
You will bring strong commercial experience in CRM, ideally within an agency or multi-client environment. You are comfortable defining CRM strategy as well as delivering against it, and confident presenting recommendations to senior stakeholders. An analytical mindset, experience using data to guide decisions, and exposure to marketing automation platforms are all essential. You enjoy leading projects and collaborating with others, even without formal line management responsibility.

What They Offer

• Exposure to varied, high-impact CRM projects across multiple industries
• Clear opportunities for development and progression within a growing team
• A supportive, collaborative culture with a strong focus on wellbeing

How to Apply
If you are looking for a senior CRM role that combines strategy, client influence, and hands-on impact, apply now to learn more.

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AI Infrastructure Engineer

Location: New York, NY (Hybrid)
Pay: $180k – $210k Base + Bonus

Overview

This role sits within a highly technical investment and technology‑driven organisation operating at the intersection of advanced data, engineering and artificial intelligence. The business is known for its strong engineering culture, long‑term investment in infrastructure, and a highly collaborative, research‑led environment.
You will be part of a team responsible for designing and building the core infrastructure that enables AI and agent‑based systems to operate securely, reliably and at scale. This is a hands‑on engineering role with real ownership, focused on production systems rather than experimentation.

Responsibilities

• Design, build and operate production‑grade Kubernetes clusters supporting AI and agent‑based workloads
• Architect and scale core AI infrastructure platforms used across the organisation
• Build and maintain containerised platforms and supporting DevOps tooling
• Implement security, governance and access controls across AI infrastructure
• Support reliability, availability and performance of critical AI systems (SRE‑style ownership)
• Integrate infrastructure with networking, gateways and firewall‑controlled environments
• Partner closely with AI, platform and engineering teams to enable adoption and best practices
• Contribute to long‑term infrastructure strategy and standards

Must‑Have Qualifications

• Minimum 3+ years’ experience operating production Kubernetes environments
• Strong background in infrastructure engineering, SRE or platform engineering
• Solid experience designing secure systems (API security, authentication, access controls)
• Experience with containerised systems and modern cloud‑native architectures
• Professional software engineering experience building scalable, reliable systems
• Computer Science degree or equivalent practical experience

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Head of Engineering
Remote UK | £120,000 to £140,000 plus discretionary bonus

This is a rare opportunity to step into a senior leadership role within a fast growing TechBio scale up where engineering plays a critical role in shaping product, platform, and customer impact. You will take ownership of the engineering function, bringing structure, consistency, and leadership to a highly capable technical team while working closely with executive leadership on long term technical direction.
The Company
They are a venture backed technology business operating at the intersection of data, AI, and life sciences. Their platform enables global pharmaceutical organisations to make sense of vast amounts of public and proprietary scientific data, uncovering insights that would otherwise remain hidden. With strong funding, a growing customer base, and a clear mission, they are now scaling their technology and teams to meet increasing demand.
The Role

• Take ownership of the engineering function, leading senior engineers across backend, platform, full stack, and data disciplines.
• Act as the primary engineering leader, allowing the wider technology leadership to focus on data science and machine learning innovation.
• Set clear standards for engineering best practice, architecture, delivery, and technical decision making.
• Coordinate and oversee multiple workstreams, ensuring projects are well planned, aligned, and delivered effectively.
• Stay close to technical design and architecture, providing guidance and challenge without being hands on day to day.
• Partner with product, data science, and client facing teams to ensure the platform is robust, scalable, and delivering real customer value.
• Help shape and evolve a strong, collaborative engineering culture within a remote first environment.

Your Skills and Experience

• Strong commercial experience leading engineering teams within product led or platform based technology businesses.
• Background in backend or full stack engineering with a solid architectural perspective.
• Experience managing and mentoring senior engineers, with the credibility to lead highly capable technical specialists.
• Proven ability to bring structure, standards, and consistency to growing engineering teams.
• Comfortable operating in a startup or scale up environment with evolving priorities and ambiguity.
• Confident communicator who can work effectively across technical and non technical stakeholders.

What They Offer

• Salary between £120,000 and £140,000 plus a discretionary bonus.
• Fully remote working within the UK.
• Opportunity to shape the engineering direction of a high impact AI and data platform.
• A key leadership role within a growing, well funded business with long term progression opportunities.

How to Apply
If you are looking for a senior engineering leadership role with real influence and impact, please apply to learn more.

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Commercial Manager

Salary
£50,000-£55,000

Location + work pattern
London | Hybrid working (2-3 days per week in the office, alternating weeks)

THE COMPANY

• A UK-based consumer finance business specialising in credit card products across both proprietary and co-branded offerings.
• Established as a modern, data-led organisation with strong backing and a focus on sustainable growth.
• Known for investing in technology, people development, and building scalable commercial capabilities.

THE ROLE

This role sits within the acquisition function and focuses on commercial pricing performance across new customer channels. You will work closely with data and acquisition stakeholders to optimise pricing levers within an agreed risk framework.
Specifically, you can expect to be involved in:

• Analysing portfolio and market data to assess pricing performance and commercial impact.
• Reviewing competitor propositions and identifying opportunities to improve acquisition outcomes.
• Supporting changes to pricing levers (e.g. APR, offers) in line with commercial objectives.
• Extracting and manipulating data using SQL to inform decision-making.
• Collaborating closely with acquisition and aggregator teams to implement and monitor changes.

YOUR SKILLS AND EXPERIENCE

• Experience in a commercial, pricing, or revenue-focused role within a consumer-facing, regulated environment.
• Strong understanding of how pricing decisions impact customer behaviour and commercial performance.
• Hands-on experience using SQL to extract, analyse, and interpret data.
• Ability to work within established risk and governance frameworks.
• Clear communication skills, with the ability to explain data-driven insights to non-technical stakeholders.
• Experience within consumer lending is highly relevant; backgrounds in other data-led consumer sectors are also applicable.

THE BENEFITS

• Competitive salary and benefits package.
• Hybrid working with flexibility built into the week.
• Opportunity to shape a growing commercial function in a small, agile team.
• Strong culture of learning and development, with exposure to advanced analytics and modelling.
• Involvement in new product launches and business growth initiatives.

THE PROCESS

• Initial 30-minute interview focused on experience and cultural fit.
• Second-stage interview including a live analytical task.
• Final interview covering motivation and commercial approach.

HOW TO APPLY

Please register your interest via the apply link on this page.

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LEAD ML ENGINEER
£90,000- £95,000

REMOTE

This is a standout opportunity to take ownership of machine learning engineering within a growing data and AI function that has strong internal backing and real-world impact. You will lead the delivery of production-grade ML solutions, shaping best practice while helping scale capability across the wider team, with a clear pathway into a long-term permanent role.

THE COMPANY
They are a large, well-established UK organisation operating in a complex, highly regulated environment, with a strong reputation for quality, trust and long-term client relationships. The business is investing significantly in cloud, data and AI to modernise how it uses and commercialises information. This role is offered initially as a 12-month fixed-term contract, with the opportunity for it to become a long-term, permanent position within the organisation.

THE ROLE

• Lead the ML engineering capability, owning end-to-end delivery of production ML solutions.
• Design and build scalable ML pipelines aligned to business strategy and cloud best practice.
• Productionise existing proof-of-concepts, including complex NLP and LLM-based use cases.
• Implement and embed MLOps standards across deployment, monitoring and maintenance.
• Work closely with data scientists, engineers and stakeholders to translate models into robust data products.
• Contribute as a technical thought leader within an agile, collaborative engineering team.

YOUR SKILLS AND EXPERIENCE

• Strong commercial experience as a Machine Learning Engineer with a solid software engineering background.
• Hands-on delivery using Python, SQL, Azure and Databricks in production environments.
• Practical experience with NLP, LLMs and fine-tuning models for real-world use cases.
• Proven ability to build and maintain end-to-end ML pipelines and MLOps workflows.
• Confidence working with APIs and integrating ML solutions into wider platforms.
• Comfortable engaging with stakeholders and supporting data science initiatives.

SALARY AND BENEFITS

• Salary of £90,000 to £95,000 depending on experience.
• Annual bonus and a comprehensive benefits package including private medical cover, pension and life assurance.
• 25 days annual leave with the option to buy more.
• Fully remote working within the UK, with occasional optional office attendance.
• Flexible working hours and a genuine focus on work-life balance within a 35-hour working week.
• A clear opportunity for the role to convert to a permanent position and grow into future leadership responsibility.

HOW TO APPLY
Please register your interest by sending your CV to Nihal Singh through the ‘Apply’ link

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Senior Data Engineer

Location: Remote in UK and Ireland

Salary: £55,000 – £70,000

This is an opportunity to join a growing data engineering function where you can take real ownership of greenfield projects, influence technical direction, and work end to end from design through to deployment. You will operate in a fully remote environment with a high level of autonomy, contributing to modern cloud data platforms used by a range of clients.

The Company

They are a fast-growing, data-led organisation building a modern data platform capability for external clients. The data function is central to the business strategy and is continuing to scale with long-term hiring plans in place. Operating fully remotely across the UK and Republic of Ireland, they prioritise trust, ownership, and delivery over micromanagement. The environment suits engineers who enjoy responsibility and solving complex problems.

The Role

You will play a key role in delivering client-facing data engineering projects, often in greenfield environments. Your responsibilities will include:

• Designing and building scalable data solutions from source systems through to analytics-ready layers
• Developing robust ingestion pipelines and transformation logic using Python and SQL
• Deploying and managing cloud data environments
• Orchestrating workflows and ensuring reliable, production-grade delivery
• Owning projects end to end, from initial design to ongoing optimisation
• Working directly with clients and stakeholders to understand requirements and communicate progress

Your Skills & Experience

To be successful in this role, you will bring:

• Strong commercial experience with Python and SQL in data engineering environments
• Proven ability to lead projects independently and take ownership of delivery
• Experience building modern data pipelines and transformation layers
• Confidence working in client-facing or stakeholder-facing environments
• Experience working with cloud data warehouses such as Snowflake, BigQuery, or similar platforms
• Solid understanding of dimensional data modelling
• A proactive, problem-solving mindset with comfort operating autonomously
• Experience with infrastructure as code tools such as Terraform is beneficial but not essential

What They Offer

• Greenfield project work with modern cloud technologies
• Clear progression opportunities as the data function continues to scale
• A culture that values autonomy, trust, and technical ownership

How to Apply

If you are a Senior Data Engineer looking for autonomy, impact, and modern data engineering challenges, apply now to learn more.

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Product Data Scientist

Up to £85,000
Hybrid (Leicestershire HQ / London Holborn)

We’re hiring a Product Data Scientist to join a fast-growing, purpose-driven organisation using data to shape better products and experiences for millions of users.

This is a highly impactful role where you’ll act as a strategic partner to product, engineering, and commercial teams, owning the full analytical lifecycle-from defining problems through to delivering insights that directly influence decisions and product direction.

The role:

• Own end-to-end analytics within your product area
• Design and run experiments (A/B testing, hypothesis testing)
• Build models, define metrics, and deliver actionable insights
• Create dashboards and tools to enable self-serve analytics
• Work closely with stakeholders to shape product strategy

What we’re looking for:

• Experience in a product or digital analytics environment
• Strong SQL and Python or R
• Hands-on experience with experimentation and statistical analysis
• Experience with BI tools (Looker, Tableau, etc.)
• Confident communicator who can influence decision-making

BENEFITS

The successful candidate will receive a competitive salary alongside a bonus and strong benefits package. This includes hybrid working, generous annual leave (plus your birthday off), private healthcare, a pension scheme, and access to a wide range of discounts and well being support. You’ll also benefit from a collaborative, purpose-led culture with strong opportunities for development.

HOW TO APPLY

Please register your interest by sending your CV to Keji Adebari via the Apply link on this page!

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