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Marketing Data Scientist

London | £45,000 to £55,000 + bonus and benefits
No sponsorship offered – must have full right to work in the UK

This is a rare opportunity to join a growing data science function at a pivotal moment for the business. With senior backing, fresh investment, and a clear focus on marketing effectiveness, this role offers real ownership, visibility, and the chance to shape how data science drives commercial decisions at scale.

The Company

They are a well established, international organisation undergoing a period of transformation, with a renewed focus on data driven decision making. A new leadership team is investing heavily in analytics to improve customer understanding, optimise marketing spend, and drive long term growth. The data science team has expanded rapidly and continues to grow across the UK and US, creating strong collaboration and progression opportunities.

The Role

You will sit within a marketing measurement and reporting team, focusing on understanding and improving marketing performance across channels. This role combines hands on modelling with real business impact.

Key responsibilities include:

• Developing and enhancing media mix models to measure and optimise marketing investment.
• Scaling an established UK modelling framework and applying it to international markets.
• Leading the evolution of marketing effectiveness modelling, with support and one direct report.
• Working closely with marketing, CRM, and analytics stakeholders to turn insights into action.
• Contributing to wider data science projects such as experimentation, propensity modelling, and recommendation systems.
• Owning projects end to end, from problem definition through to measurable business impact.

Your Skills and Experience

• Strong hands on experience with Python and applied machine learning.
• Solid grounding in statistical and predictive modelling techniques.
• Experience designing experiments and evaluating performance using A B testing or similar approaches.
• Confidence working with real world, messy data and delivering production ready solutions.
• Familiarity with cloud environments such as AWS is beneficial.
• Exposure to Bayesian methods, random forests, or marketing analytics is advantageous but not essential.
• Ability to demonstrate how your work has delivered tangible value or influenced decision making.

What They Offer

• Salary between £45,000 and £55,000 depending on experience.
• 10 percent annual bonus.
• Pension with 3 percent employer and 5 percent employee contribution.
• Hybrid working with 2 to 3 days per week in the London office.
• Clear progression as the data science team continues to grow and invest.

How to Apply

If you are looking for a hands on marketing focused data science role with ownership, impact, and urgency, apply now to be considered. Sponsorship is not available for this role.

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Data Center Engineer – Build the Future of High-Performance Infrastructure

Irving, TX (100% onsite)
Up to $235K base + bonus + equity (OTE ~$330K-$350K+)

Why This Role Stands Out

This isn’t just another architecture role – it’s an opportunity to shape next-generation data center strategy at a globally recognized leader in semiconductor innovation.

You’ll sit at the forefront of infrastructure evolution, designing and scaling environments that power cutting-edge engineering, manufacturing, and high-performance workloads. With strong executive visibility and influence, your decisions won’t just support the business – they’ll define its future.

What You’ll Own

As the Data Center Architect, you’ll be the driving force behind designing and modernizing mission-critical environments across multiple sites. This is a high-impact role blending deep technical expertise with strategic vision.

Design & Architecture Leadership

• Architect large-scale, high-availability data center environments (compute, storage, networking, power, cooling)
• Define scalable, future-ready infrastructure aligned to aggressive growth plans
• Standardize designs across sites (rack layouts, deployments, and infrastructure components)

Next-Gen Networking (Arista Focus)

• Lead architecture for Arista-based data center fabrics in a multi-vendor ecosystem
• Utilize Arista CloudVision (CVP) for centralized management, visibility, and life-cycle operations
• Drive automation and consistency using AVD (Arista Validated Designs)
• Balance innovation with flexibility – avoiding vendor lock-in while maximizing performance

Capacity & Growth Strategy

• Own capacity planning and forecasting across multiple data centers
• Anticipate demand from engineering and manufacturing workloads
• Lead expansions and upgrades proactively – before they become constraints

What Makes You a Fit

You’re not just an architect – you’re a builder and strategist who thrives in complex, high-stakes environments.

• Proven experience designing enterprise or large-scale data centers
• Strong expertise across networking, compute, storage, and facility infrastructure
• Background in semiconductor, advanced manufacturing, or similar high-precision environments (strongly preferred)
• Experience supporting high-performance or engineering-driven workloads
• Track record of leading multiple data center builds or major expansions (3+)
• Familiarity with hyperscale or cloud-inspired architectures (AWS, Azure, GCP)
• Ability to operate both hands-on and strategic, with strong stakeholder influence

What You’ll Gain

• Direct impact on infrastructure strategy at a global technology leader
• The opportunity to bring modern, hyperscale design thinking into a highly complex environment
• Executive-level visibility and influence
• Top-tier compensation with significant upside

Bottom Line

If you’re looking to move beyond “keeping the lights on” and instead architect the future of high-performance infrastructure, this is the role that puts you in the driver’s seat.

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Senior Machine Learning Engineer (Computer Vision / Vision-Language Models)
Remote (U.S. or Canada) | $200,000-$240,000 Base + Significant Equity

We are partnering exclusively with a mission-driven, venture-backed healthtech company that has raised more than $200M and is using AI to transform how care is delivered to older adults.

This is a rare opportunity to join a small, high-caliber engineering team building real-world multimodal AI systems that directly improve human lives. The company is combining computer vision, edge intelligence, and cloud-scale machine learning to automate complex workflows and generate actionable insights in healthcare environments.

What You’ll Work On

• Design and deploy production-grade Vision-Language Model (VLM) pipelines
• Build multimodal systems that combine image, video, and text data
• Develop labeling, evaluation, and monitoring frameworks
• Optimize inference pipelines for performance, accuracy, and cost
• Collaborate closely with embedded, data, and product teams
• Help define the long-term AI roadmap and technical architecture

Ideal Background

• 5+ years of applied machine learning experience
• Deep expertise in Computer Vision and modern deep learning
• Direct experience with VLMs, multimodal models, or adjacent CV + LLM systems
• Strong Python and PyTorch skills
• Proven record of deploying ML systems into production
• Experience with edge devices, video, or spatiotemporal data is highly desirable
• Healthcare or regulated industry experience is a plus

Why This Opportunity Stands Out

• Work on cutting-edge multimodal AI with tangible real-world impact
• Join a company with strong funding, rapid growth, and meaningful mission alignment
• Exceptional technical challenges spanning CV, LLMs, edge systems, and cloud infrastructure
• Significant ownership and influence over foundational AI architecture
• Competitive compensation and substantial equity upside

This opportunity is best suited for true builders who have translated advanced ML research into robust production systems and are excited to solve consequential problems at scale.

If you have direct experience with VLM/Computer Vision and multimodal AI and are looking for a role where your work will matter every day, we would love to hear from you.

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Data Scientist
London, hybrid 2-3 days in office| £45,000 to £55,000 + bonus + benefits
1-2 years experience
No Sponsorship available

This is an opportunity to join a growing data science function at a pivotal point in its evolution. The role offers real ownership, hands-on modelling work, and the chance to shape how marketing effectiveness is measured and scaled across international markets. With senior backing and investment in data, this is a role where your work will directly influence commercial decisions.

The Company

They are a well-established consumer-facing organisation. Data and analytics sit at the centre of their growth strategy, with clear investment into modernising CRM, marketing measurement, and decision-making capabilities. The data science team has expanded rapidly and continues to grow across the UK and US, with strong visibility and support from senior stakeholders.

The Role

• Lead the development and evolution of media mix modelling to understand and optimise marketing channel performance.
• Scale an existing UK marketing effectiveness model and support its rollout into the US market.
• Work closely with marketing, CRM, and analytics teams to generate actionable insights.
• Take ownership of models from concept through to delivery, ensuring measurable business impact.
• Contribute to additional data science initiatives such as propensity modelling, experimentation, and recommendation systems.
• Support and develop a junior team member within the marketing measurement space.

Your Skills & Experience

• Strong hands-on experience with Python and machine learning techniques.
• Solid grounding in statistical modelling and performance measurement.
• Experience designing experiments and working with A B testing frameworks.
• Confidence working end to end on data science projects and demonstrating commercial impact.
• Familiarity with cloud environments such as AWS is beneficial.
• Exposure to Bayesian methods, random forests, or similar approaches is highly desirable.
• Marketing or channel performance experience is helpful but not essential; technical capability is the priority.

What They Offer

• Salary between £45,000 and £55,000 depending on experience.
• Annual bonus of up to 10 percent.
• Pension with 3 percent employer and 5 percent employee contributions.
• A flexible benefits package aligned to roles under £70,000.
• Hybrid working with 2 to 3 days per week in the London office.
• Clear scope for progression as the data science team continues to grow.

How to Apply

If you are looking for a hands-on data science role with real ownership and impact, apply now to learn more.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Machine Learning Engineer
London, Hybrid (Twice Per Week)
Up to £110,000 + 20% Bonus

This is an opportunity to take ownership of end to end machine learning delivery in a role that blends technical depth with real world impact. You will work on production grade ML systems that directly improve operational and commercial outcomes, with the backing of a highly skilled, collaborative data team.

The Company
They are a specialist, data led organisation applying advanced analytics and machine learning to solve complex commercial problems. Their work spans the full lifecycle of data products, from discovery through to deployment, with a strong focus on building robust, scalable solutions. The environment is delivery focused, technically ambitious, and designed for people who want their work to make a measurable difference.

The Role
You will play a key role in designing, building, and productionising machine learning solutions across a range of use cases. Working closely with data scientists, data engineers, and delivery colleagues, you will help set technical standards and ensure solutions are production ready.
Key responsibilities include:

• Building and deploying machine learning models into live production environments
• Designing and maintaining MLOps workflows, including model lifecycle management
• Developing APIs and containerised services to support ML products
• Implementing DevOps best practices across development and production
• Collaborating cross functionally to align data, modelling, and business requirements

Your Skills and Experience

• Strong commercial experience developing machine learning solutions in Python
• Solid understanding of the Python ML ecosystem including libraries such as NumPy, pandas, and scikit learn, with exposure to PyTorch or TensorFlow
• Experience building and deploying containerised services and APIs
• Working knowledge of SQL and data driven application development
• Hands on experience with at least one major cloud platform such as AWS, GCP, or Azure
• Familiarity with MLOps tooling, workflow orchestration, or feature stores is highly beneficial

What They Offer

• Salary up to £110,000 plus a 20% bonus
• Hybrid working with two days per week in the London office
• Exposure to varied, high impact machine learning projects
• Clear scope for technical ownership and career progression
• A collaborative culture with strong investment in data and AI capability

To Apply for this Job Click Here

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Senior ML Engineer
New York City
Up to $210K base + bonus + equity

Company

A global provider of mission‑critical data, analytics, and technology powering the world’s financial markets. The organization operates at massive scale, combining machine learning, advanced statistics, and high‑quality data to deliver insights used daily by financial institutions, corporates, and governments. The environment is highly technical, impact‑driven, and deeply focused on data integrity, product quality, and engineering excellence.

Mission

• Own and evolve advanced ML and statistical models used in production across large‑scale data platforms
• Design, develop, and deploy ML‑powered features that enhance analytics, risk assessment, and decision‑making
• Tackle complex, non‑standard modeling problems involving noisy, sparse, or highly regulated data
• Operate and support production ML systems, including model monitoring, incident analysis, and impact assessment
• Collaborate closely with Product, Data Engineering, and Platform teams to translate business problems into robust technical solutions
• Contribute to system design, architectural decisions, and rigorous code reviews
• Ship improvements continuously using CI/CD pipelines and infrastructure‑as‑code best practices

Profile

• Master’s degree (or equivalent) in Applied Mathematics, Statistics, or a closely related quantitative field (mandatory)
• 3+ years of professional experience building ML or data‑driven systems in production (excluding internships)
• Hands‑on experience deploying, monitoring, and maintaining ML models at scale
• Strong communication skills with the ability to work effectively in cross‑functional, product‑oriented teams
• Experience in financial data, risk modeling, or large‑scale analytics platforms is a plus, but not required

To Apply for this Job Click Here

To Apply for this Job Click Here

I’m hiring multiple senior hires to join a growing AI and Digital Transformation consulting practice within a premium consultancy. This team has recently secured significant investment and is scaling quickly, with multiple hires across Lead and Principal level.

This is a role for people who want to own and deliver real AI transformation, not just advise on it.

The company

A high‑end consultancy working across defence, consumer, and public sector clients, known for delivering complex, high‑impact programmes.

They’ve built a strong reputation on delivering measurable commercial outcomes, not just strategy – and are now investing heavily in expanding their AI capability to stay ahead of competitors.

Where you fit

You’ll sit within the Digital / AI Consulting practice, working directly with clients to:

• Identify opportunities for AI and advanced analytics
• Design and deliver solutions end‑to‑end
• Embed those solutions into real business operations

This is a hands‑on leadership role – combining delivery, client engagement, and mentorship of other consultants.

What you’ll be doing

• Lead the design and delivery of AI and data science solutions (LLMs, NLP, ML, etc.)
• Work directly with senior client stakeholders to shape and deliver solutions
• Build and deploy end‑to‑end AI products, not just prototypes
• Apply technologies such as LLMs, RAG systems, and agentic workflows to real business problems
• Translate technical outputs into clear commercial value and measurable impact
• Mentor and develop consultants, helping build capability across the team
• Help shape the consultancy’s AI offering and go‑to‑market approach

Example work

• Using LLMs to improve decision‑making and workflow automation in complex environments
• Delivering predictive analytics in healthcare to improve outcomes and efficiency
• Building AI‑driven optimisation tools in retail to improve pricing and margins
• Supporting large‑scale programmes across defence and public infrastructure

What you bring

Core requirements

• Strong data science / machine learning background
• Experience delivering AI / GenAI solutions (LLMs, NLP, etc.)
• Proven ability to take solutions from concept through to real-world deployment
• Experience leading projects, workstreams, or teams
• Strong stakeholder engagement skills – client‑facing and commercially focused
• Evidence of measurable impact (revenue uplift, cost savings, efficiency gains, etc.)

Nice to have

• Consulting experience (highly preferred)
• Experience across regulated or complex sectors (defence, public sector, retail, etc.)
• Familiarity with modern stacks (Python, cloud, Databricks, APIs, etc.)
• Experience mentoring or leading junior team members

Why this role

• Shape and scale a growing AI consulting capability
• Work on complex, high‑impact projects across multiple industries
• Strong blend of technical delivery, commercial impact, and leadership
• High visibility internally and with clients
• Opportunity to progress to partner level over time

Working style

• London base (or nearest office)
• Hybrid working, with regular client travel
• 3 days total per week
• Flexible, project‑led environment

Interview process

• Online assessment (incl. logical / aptitude test)
• Informal first conversation (director‑level, including short presentation)
• Final stage onsite in London (presentation + discussion)

To Apply for this Job Click Here

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Principal Machine Learning Engineer

New York | Hybrid | Principal IC

$170,000 to $210,000

Join a world‑class AI & ML team building production‑grade Generative and Agentic AI systems at enterprise scale.

The role

As a Principal ML Engineer, you’ll sit at the sharp end of applied AI, architecting and shipping LLM, RAG and agentic platforms used across the business. This is a hands‑on senior IC role with real influence: setting engineering standards, mentoring senior engineers, and shaping AI strategy alongside leadership.

What you’ll be doing

• Designing, deploying and operating LLMs, RAG pipelines and autonomous agents
• Building scalable Python backends & APIs (FastAPI, async systems)
• Owning LLMOps/MLOps, cloud AI infrastructure and observability
• Driving best practice across ML, software engineering and platform design

What we’re looking for

• 10+ years in ML / software / data roles, expert Python engineer
• Strong experience with GenAI frameworks, cloud platforms (AWS/GCP/Azure)
• Production mindset: distributed systems, reliability, scalability
• Comfortable influencing teams and leaders without line management

Why apply

• Principal‑level impact and autonomy
• Cutting‑edge AI at real scale (not POCs)
• High‑trust, high‑performance engineering culture

Apply NOW!

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12 Month FTC Role

Senior Data Scientist (12 Month Fixed Term Contract)
London (Hybrid, 2 days per week in the office)

This is a rare opportunity to step into a senior, end to end role where you will take full ownership of high impact data science and AI projects during a critical period of transition. You will work across a genuinely mixed portfolio of traditional machine learning and modern generative AI, with real responsibility for design, deployment, and stakeholder outcomes.

The Role
You will join a blended Data Science and AI Engineering team, covering a maternity leave where projects are already live and business critical. You will own work end to end, from scoping and solution design through to production deployment and ongoing monitoring.

Key responsibilities include:

• Owning and delivering machine learning and AI projects from problem definition to production.
• Designing models from scratch across both structured and unstructured data use cases.
• Building and deploying LLM based solutions including summarisation and agentic workflows.
• Delivering traditional machine learning models using techniques such as gradient boosting.
• Working closely with product, engineering, and business stakeholders to define requirements and trade offs.
• Deploying models using cloud infrastructure, CI/CD pipelines, and MLOps best practices.
• Taking responsibility for monitoring, performance, and ongoing improvement of live models.

Your Skills and Experience

• Strong commercial data science experience with a solid grounding in classical machine learning.
• Hands on experience deploying and owning models in production environments.
• Good understanding of LLMs and modern AI approaches, or clear capability to apply them in production.
• Experience working with cloud platforms and deployment pipelines, with exposure to CI/CD and MLOps.
• Confident working end to end, from exploratory analysis through to scalable deployment.
• Comfortable operating in regulated or complex environments.
• Strong stakeholder management and communication skills, with the ability to translate business needs into technical solutions.

Please note, this is a 12 month FTC

To Apply for this Job Click Here

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Forward Deployed Senior Data Scientist

Salary: $175,000+ (Depending on Experience)

Locations: Remote (with 25% travel)

THE COMPANY

A high‑growth, mission‑focused technology organisation is expanding its advanced analytics and AI function. Operating in a complex, data‑rich environment, the team builds scalable, high‑impact AI systems that support critical decision‑making and deliver tangible operational value. The environment is fast‑paced, innovative, and ideally suited to someone who thrives in high‑autonomy, high‑impact roles.

THE ROLE

As a Forward Deployed Senior Data Scientist, you will work directly with stakeholders to translate complex problems into deployable AI solutions. You’ll use a combination of proprietary and commercial datasets to uncover insights, build models, and deploy production‑ready systems that support strategic decision‑making.

This role blends hands‑on data science, AI engineering, rapid prototyping, and end‑to‑end delivery ideal for someone who is highly analytical, scrappy, and passionate about solving complex technical challenges with real‑world impact.

KEY RESPONSIBILITIES

• Build advanced AI/ML/DS models and systems tailored to high‑value operational challenges
• Develop new AI‑driven technology stacks designed for specific customer use cases
• Lead end‑to‑end delivery of AI projects, from scoping to production deployment
• Partner with research, engineering, and software teams to deliver robust AI products
• Define architectural standards and project roadmaps for scalable AI systems
• Create evaluation frameworks for AI deployments, including performance, reliability, and observability
• Mentor junior team members and help shape a culture of excellence and innovation
• Stay current with emerging techniques in AI, LLMs, and agentic systems; drive adoption of best practices
• Build agentic AI systems leveraging reasoning frameworks and orchestrators
• Act as a technical leader, translating high‑level objectives into actionable technical plans

EXPERIENCE REQUIRED

• Extensive experience designing, developing, and delivering AI/ML solutions end‑to‑end
• Strong software and data science fundamentals (Python essential)
• Experience building production‑grade AI systems and integrating them into customer environments
• Ability to collaborate across research, engineering, and product teams
• Experience working with large‑scale datasets and cloud‑based ML deployments
• Strong organisational skills and the ability to communicate complex ideas clearly
• Proven ability to operate independently in fast‑moving environments and manage competing priorities
• Passion for rapid prototyping, experimentation, and building high‑impact solutions

DESIRABLE EXPERIENCE

• Publications in top AI/ML/NLP or decision science venues
• Experience developing evaluation systems for LLMs or agentic models
• Experience with fine‑tuning, post‑training, or advanced model adaptation
• Familiarity with MLOps, monitoring, deployment, and large‑scale model management
• Track record of converting research prototypes into production systems

THE OFFER

• Competitive compensation (around $175,000 base depending on experience)
• Opportunity to work on deeply impactful, high‑scale AI challenges
• High degree of autonomy, technical ownership, and end‑to‑end influence
• A fast‑paced, innovation‑driven environment with strong technical peers
• Exposure to cutting‑edge modelling, LLMs, and agentic system development

To Apply for this Job Click Here