To Apply for this Job Click Here

Marketing analyst
London
Up to £80,000 plus benefits
This is a great opportunity to join a fast‑scaling, data‑driven consumer business where analytics directly shapes how millions of products move through their supply chain. If you enjoy A/B testing, experimentation, and solving operational problems end to end, this role gives you the ownership, visibility, and impact to make a genuine difference.
The Company
They are a global ecommerce and recommerce business with a strong mission focus and a highly customer‑centric mindset. Built from the ground up, they have grown into a multi‑market operation with large warehouse functions and rapidly expanding digital channels. Recent investment is driving transformation across their supply, operations, and direct‑to‑consumer strategy. Data sits at the heart of how they optimise stock, logistics, fulfilment, and customer experience.
The Role
You will lead analytics across supply and operations, helping the business make smarter, faster decisions. You will:
* Analyse stock levels, submissions, retention, and shipping to optimise availability.
* Assess performance across supply channels and surface insights on supplier behaviour.
* Improve warehouse efficiency, storage capacity, and operational processes.
* Own A/B testing and experimentation across supply chain initiatives, from fulfilment methods to stock decisions.
* Deliver cost analysis across postage, shipping, and operations.
* Build and maintain reporting, modelling, and dashboards in SQL, Python, and BI tools.
* Mentor a direct report and guide them through analytics and transformation projects.
* Shape the future analytics roadmap, with the option to specialise further into supply and ops or expand into demand‑side analytics.
Your Skills and Experience
* Strong commercial experience in supply chain, operations, or inventory analytics.
* Confident designing, running, and analysing A/B tests and experiments.
* Proficient in SQL, Python, and visualisation tools such as Tableau.
* Able to communicate insights clearly and work closely with senior stakeholders.
* Hands‑on analytical capability with a proactive, entrepreneurial mindset.
* Comfortable working in a fast‑moving environment with evolving processes and data.
* Customer‑first in your thinking, with a commercial approach to decision making.
What They Offer
* Salary up to £80,000 plus benefits.
* Clear progression pathways across supply, operations, and broader analytics.
* The chance to influence strategy during a pivotal period of growth and transformation.
* A culture that values curiosity, ownership, and continuous improvement.
How to Apply
If this sounds like your next challenge, please apply with your CV.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Governance Analyst

Central London (4 days a week)
Salary: £50,000 to £60,000 plus benefits

This is an excellent opportunity to join a global organisation that is investing heavily in data governance and data quality. You will play a key role in helping the business establish a stronger data culture, improve data literacy, and build trust in the data that supports critical decision making across global teams.

The Company
They are a highly respected international organisation operating in a complex, data‑rich environment. The business is growing its data governance capability and placing significant importance on data standards, ownership, and quality. You will work in a collaborative team that partners with global stakeholders to streamline processes, define governance frameworks, and enhance how data is used across core business functions.

The Role
Depending on experience, you will support or lead data governance activity across the organisation. Responsibilities include:

* Acting as a key point of contact for data governance requests and stakeholder engagement across global offices.
* Managing the data governance issues log, including prioritisation, tracking, and driving resolution.
* Working closely with Data Stewards to understand data domains, ownership and usage.
* Supporting or leading Data Steward meetings and helping stakeholders apply governance processes correctly.
* Configuring, maintaining, and improving the data catalogue and metadata within the data management tool.
* Helping the business adopt governance standards by improving process documentation and data literacy.
* Identifying continuous improvement opportunities across data quality, metadata, lineage, and governance processes.
* Supporting business teams in understanding where data is used and how it flows across systems.

Your Skills and Experience
* Strong commercial experience in data governance, data management, business analysis or similar data roles.
* Ability to work confidently with stakeholders, guiding them through processes and following up proactively.
* Experience with data governance or cataloguing tools such as Collibra, Informatica, Data360 or similar.
* Good understanding of metadata, data quality, lineage, and governance frameworks.
* Effective communication skills, with the ability to translate complex concepts into clear actions for the business.
* Experience working in regulated, professional services or global organisations is advantageous.
* For senior candidates, deeper governance expertise and the ability to lead frameworks, meetings and deliverables.

What They Offer
* Salary between £50,000 and £60,000, with up to £65,000 achievable.
* Four days per week in the office.
* Free breakfast, lunch and dinner provided onsite.
* Private medical insurance.
* Pension plan with matched employer contribution up to 7.5 percent.
* Yearly wellbeing fund.
* Income protection, life insurance and critical illness cover.
* Private GP services.
* Travel insurance and dental coverage.
* Cycle to work scheme.
* Holiday purchase options.
* Clear opportunities to grow into a more senior data governance role.

How to Apply
If this sounds like the right next step in your data governance career, please submit your CV to be considered.

To Apply for this Job Click Here

To Apply for this Job Click Here

Principal Data Architect

Shoreditch, London (3 days onsite)
£100,000 to £117,500 plus benefits

This is a standout opportunity for an experienced Data Architect to join a high‑growth consultancy environment where you will shape enterprise data architecture for major clients, lead impactful transformation programmes, and work across modern cloud ecosystems. If you enjoy solving complex data challenges while operating in a collaborative, people‑focused culture, this role offers the scope and visibility you’re looking for.

The Company
They are a global consulting organisation with a strong reputation in data strategy, data architecture, and digital transformation. Known for delivering end‑to‑end solutions, they support clients across financial services, capital markets, insurance, and energy. Their teams operate in modern, cloud‑centric environments and are trusted to lead critical data initiatives as part of wider transformation programmes. You will join an established data capability with deep technical expertise and a commitment to innovation and high‑quality delivery.

The Role
As a Principal Data Architect, you will:
* Lead complex consulting engagements, guiding clients on data architecture design, governance, and best practice.
* Shape modern data architectures across cloud platforms, supporting large‑scale transformation and migration programmes.
* Develop and embed data strategy, data modelling approaches, and enterprise data standards.
* Work directly with senior client stakeholders, influencing long‑term data roadmaps.
* Contribute to thought leadership, capability development, and revenue‑generating activity.
* Support and mentor project teams, ensuring high‑quality delivery across engagements.

Your Skills and Experience
You will bring:
* Strong commercial experience as a Data Architect within complex, enterprise environments.
* Financial services or related domain exposure such as capital markets, insurance, or wealth.
* Hands‑on experience with at least one major cloud platform such as AWS, Azure or GCP.
* Expertise in enterprise data modelling including conceptual, logical and physical modelling.
* Experience designing cloud‑based data platforms, data governance frameworks, and modern data architectures.
* The ability to communicate effectively across technical and non‑technical teams.
* Consulting skills such as stakeholder engagement, solution ownership and influencing business leaders.

What They Offer
* Salary between £100,000 and £117,500 depending on experience.
* Discretionary bonus.
* Private medical insurance.
* Pension with enhanced employer contribution options.
* 25 days annual leave with ability to buy or sell days.
* Business coaching and clear development pathways.
* Life insurance.
* Genuine progression opportunities based on performance rather than tenure.
* Hybrid working with 3 days onsite in London.

How to Apply
If you are ready to take the next step in your data architecture career, please apply with your CV.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Machine Learning Engineer

Up to £120,000 + bonus
London based (hybrid 2-3 days per week in office)

If you enjoy solving real business problems, and working technical team, this is a brilliant place to grow. You’ll work on end‑to‑end ML projects across multiple private equity companies, helping them unlock value, modernise their data capabilities, and embed production‑ready AI and ML solutions.

THE COMPANY

This technology and consulting organisation partners with private equity firms across the UK and Europe to deliver meaningful, data‑driven transformation. With a good technical team they’ve built a positive reputation and an enjoyable team to work with.

THE ROLE

As a Senior ML Engineer, you’ll work across different clients, industries, and use cases – perfect if you enjoy variety and dislike being stuck on slow moving projects. You’ll be hands‑on with Python, cloud, and Databricks, building and deploying ML solutions with real commercial impact.

You can expect to work on projects such as:

• Optimisation models
• Predictive modelling for customer churn, asset failure, or sales performance
• Full ML life cycle ownership: prototyping → deployment → monitoring
• Building production‑ready pipelines, APIs, and MLOps workflows

You’ll typically work in a small and cross‑functional team.

SKILLS AND EXPERIENCE

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

• 4-6+ years in ML Engineering or Data Science
• Strong Python skills and experience with cloud platforms (AWS, GCP, or Azure)
• Experience building and deploying production ML systems
• Familiarity with Databricks, Spark, or MLOps workflows (nice to have but not essential)
• Solid understanding of modern ML methods and data engineering fundamentals
• Strong academic background (ideally Russell Group, with a Master’s minimum)
• Ability to work quickly in fast‑paced environments and communicate with non‑technical stakeholders

BENEFITS

The successful Machine Learning Engineer will receive the following benefits:

• Competitive salary based on level
• Hybrid working
• Ability to work across multiple industries and projects
• Extremely strong, and technical team
• Clear progression paths and high visibility in a small organisation

HOW TO APPLY

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

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Machine Learning Engineer

Competitive salary up to £140,000- £210,000 + bonus
London based (1 day in office per month)

This is a global technology group with an R&D team that moves fast and thinks big. They’re exploring how AI can raise the quality and performance of large‑scale digital products, blending hands‑on engineering with real research. If you enjoy trying new ideas, you’ll fit in perfectly.

THE COMPANY

This is a global tech organisation with a dedicated R&D function exploring how AI can improve the quality, reliability, and performance of large‑scale digital experiences. The team works on forward thinking projects that blend research, experimentation, and hands‑on engineering.

THE ROLE

As a Staff ML Engineer, you’ll take the lead on projects focused on anomaly detection in video based or interactive environments. You’ll guide technical direction, support junior engineers, run experiments, and ship models into production.

Specifically, you can expect to be involved in the following:

• Building and improving ML models for anomaly detection
• Leading research work streams
• Scoping, planning, and communicating project direction with stakeholders
• Mentoring juniors
• Working across areas like self supervised learning, multi modal, or vision‑language models
• Bringing concepts to life: from research → prototype → production

SKILLS & EXPERIENCE

You’ll thrive in this role if you have:

• Experience leading technical delivery or mentoring junior ML engineers
• Strong hands‑on ML skills in Python and frameworks like PyTorch or TensorFlow
• A background in anomaly detection, computer vision, or video based ML
• Experience taking ML research or prototypes through to real world deployment
• Either a research grounding (publications, research‑led roles) or deep knowledge of gaming/interactive systems

BENEFITS

• Competitive salary
• 1 day per month in the office
• Sponsorship available
• Great feedback and clear process

HOW TO APPLY
Please register your interest by sending your resume to Madison Barlow via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Machine Learning Engineer

Location: London (approx. 1 day per month onsite)
Compensation: £140k-£200k + bonus
Visa sponsorship available

A global technology organisation operating at the forefront of interactive digital experiences is expanding its advanced research division. They are looking for a Staff Machine Learning Engineer to help drive an ambitious multi‑year initiative focused on developing next‑generation automated evaluation systems for complex virtual environments.

This division operates like an internal innovation lab – small, deeply technical, and empowered to explore ideas that shape the future of automated testing, simulation, and real‑time content quality. The team’s mission is to build intelligent agents capable of autonomously navigating rich, dynamic digital worlds and detecting anomalies, glitches, and unexpected behaviours at scale.

This is a strategic, high‑ownership role where you will set technical direction, lead complex research efforts, and work across boundaries to turn cutting‑edge machine learning into real‑world impact.

What This Role Looks Like

As a Staff‑level engineer, you’ll operate as a technical leader, research driver, and architect of end‑to‑end ML solutions. You’ll work on problems that sit at the intersection of anomaly detection, computer vision, reinforcement learning, multimodal models, and simulation.
You’ll be involved in:

• Architecting advanced anomaly‑detection systems for visual, video, and multimodal data.
• Driving the research agenda across self‑supervised learning, VLMs, and new CV methodologies.
• Designing rapid prototypes, evaluating results, and scaling only the most promising approaches.
• Shaping long‑term technical strategy in collaboration with research scientists, engineers, and domain experts.
• Providing hands‑on mentorship and guidance to junior and mid‑level engineers (without line management).
• Translating ambiguous research ideas into structured technical workstreams and deliverables.
• Communicating complex concepts clearly to both technical and non‑technical groups.

You’ll be working on a problem space with global impact – the tooling you build will influence how interactive experiences are validated and improved for audiences numbering in the hundreds of millions.

What You Bring

You’ll thrive here if you combine deep ML expertise with originality, curiosity, and the ability to guide others.
Ideal experience includes:

• Strong background in anomaly detection, particularly for visual, video, or temporal signals.
• Experience leading research or engineering efforts within a high‑impact project or product area.
• A track record of technical leadership, architectural decision‑making, and mentoring.
• Proficiency in computer vision, multimodal learning, or self‑supervised methods.
• Solid research grounding – either through publications or through demonstrated applied R&D results.
• Ability to work in environments where the roadmap is innovative, ambiguous and requires exploration.
• A genuine interest in rich interactive digital worlds – whether through gaming, simulation, or related fields.

Apply with the link below!

To Apply for this Job Click Here

To Apply for this Job Click Here

Research Manager
West Midlands – Hybrid (2-3 days per week)
£45,000-£50,000

This is an exciting opportunity to take a lead role within a high‑performing insights team, where you will drive brand and communications research for major consumer brands. If you are motivated by shaping strategy, building strong client partnerships, and delivering high‑impact quantitative insights, this Senior Research Manager role offers genuine scope for influence and progression.

The Company
They are a global insights organisation recognised for helping brands understand how people think, feel, shop and communicate. Their work blends human understanding with advanced quantitative research to unlock growth across sectors including FMCG, retail, technology, beauty and more. They foster a collaborative, open culture where learning, curiosity and innovation are encouraged. With a diverse portfolio of projects, they provide a platform for you to make a tangible impact on client decision‑making.

The Role
* Lead quantitative brand and communications projects from brief to delivery.
* Build strong relationships with client stakeholders and act as a trusted insights partner.
* Develop compelling, commercially focused insights that inform brand and marketing strategy.
* Take ownership of timelines, budgets and project quality.
* Present clear stories and recommendations that influence senior decision‑makers.
* Collaborate with internal teams to deliver robust, innovative research solutions.
* Support and mentor junior colleagues, contributing to team development.
* Drive a positive, proactive working culture.

Your Skills and Experience

* Strong commercial experience in quantitative research, with a focus on brand and communications.
* Hands‑on experience managing full research cycles, including design, fieldwork oversight, analysis and debriefing.
* Proven ability to translate data into strategic, actionable insights.
* Confident client management skills and the ability to influence stakeholders.
* Excellent written and verbal communication, with experience leading debriefs.
* A collaborative mindset and an interest in supporting junior team members.
* A genuine passion for brands, consumers and evidence‑led storytelling.

What They Offer
* Competitive salary and performance‑linked rewards.
* Exposure to high‑profile brands and varied project types.
* Clear opportunities for progression in a supportive, growth‑minded environment.
* A culture that values wellbeing, inclusion and diversity of thought.

How to Apply
If you would like to register your interest for this position send your CV

To Apply for this Job Click Here