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ML Scientist / Researcher

Oncology AI · Foundation Models · Life Sciences

Remote

About the Role

We are building foundation models trained on human tumor biology – one of the most consequential and technically demanding challenges at the intersection of AI and medicine. As an ML Scientist, you will be a core research contributor designing and training these models across multimodal omics datasets, partnering closely with biologists and fellow research scientists to advance the state of the art in oncology AI.

This is a research-forward role for scientists who want their work to matter. We are looking for people with a track record of research excellence – those who have gone deep on model architecture, training dynamics, and rigorous experimental design. If you have built models from the ground up and published findings, we want to talk.

What You’ll Do

• Design and train large-scale foundation models on multimodal biological datasets, including genomics, transcriptomics, and other omics modalities
• Collaborate deeply with computational biologists, research scientists, and domain experts to translate biological questions into tractable modeling problems
• Drive the full research lifecycle: hypothesis formation, experimental design, model development, and rigorous analysis of results
• Contribute to agentic AI systems that reason over complex biological data
• Communicate findings internally and, where appropriate, through peer-reviewed publication

What We’re Looking For

Must-Haves

• Strong research background, typically evidenced by a PhD in machine learning, computational biology, statistics, physics, or a related quantitative field – or equivalent industry research experience
• Demonstrated ability to build and train models end-to-end, including experimental analysis and iteration
• Research excellence: first-author publications at top ML, AI, or computational biology venues are a strong positive signal
• Deep familiarity with foundation model concepts: pretraining, self-supervised learning, attention mechanisms, and large-scale training
• Comfort working at the intersection of biology and machine learning – even without a formal biology degree

Nice-to-Haves

• Experience with biological or omics data (genomics, proteomics, pathology imaging, etc.)
• Prior work in multimodal learning or multi-omics integration
• Familiarity with agentic AI systems or tool-use frameworks
• Background in oncology or disease biology

What This Role Is Not

This is not a production ML engineering or MLOps role. We are not looking for candidates whose primary experience is model deployment, serving infrastructure, or engineering-heavy systems work. The emphasis here is firmly on research depth and model development.

Compensation & Location

Base Salary: $250,000 – $288,000 (depending on experience) + equity

Location: Remote-friendly; office in South San Francisco, CA

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Principal Data Engineer

Location: USA Remote
Pay: $220k- $240k base salary (no bonus)

Overview

We’re hiring a senior‑level Data Engineer to join a high‑performing, multi‑disciplinary engineering team building modern, enterprise‑grade data platforms. This role is designed for an experienced technical leader who can define data strategy, own platform decisions end‑to‑end, and drive real production outcomes across complex, in‑flight systems.
You’ll play a critical role in modernising data platforms that support AI‑driven products, with a strong emphasis on performance, reliability, governance, and security. This is a hands‑on leadership role where architecture, delivery, and mentorship all matter.

Responsibilities

• Define and lead data architecture across data lakes, warehouses, and pipelines
• Design, build, and optimise scalable batch and real‑time data pipelines
• Establish and enforce data governance, quality, and compliance standards
• Implement monitoring, logging, alerting, and CI/CD workflows for data systems
• Drive data platform modernisation with a focus on performance, cost, and scalability
• Design data contracts and event‑driven integrations with backend and platform teams
• Build production data pipelines supporting AI/ML systems, including embeddings, vector stores, RAG workflows, feature stores, and training/inference data flows
• Partner with engineering and leadership teams to translate data strategy into execution
• Mentor junior and mid‑level engineers and raise overall data engineering standards

Must‑Have Qualifications

• 7+ years of professional experience in data engineering, including ownership of complex data platforms
• Strong background in distributed systems and data architecture
• Expert‑level proficiency in Python, SQL, and either Scala or equivalent JVM‑based languages
• Extensive experience with cloud‑native data platforms and enterprise data warehousing
• Hands‑on experience with streaming and real‑time data systems (e.g., Kafka, Kinesis, Pub/Sub)
• Proven experience building data pipelines for production AI/ML use cases

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Title: Senior Machine Learning Engineer, Media Generation

Location: Remote

Compensation: Up to $350,000 + Equity

We’re partnered with a well-funded startup at the forefront of media generation and digital identity, building the infrastructure for the next generation of interactive, AI-powered experiences. Their platform enables developers and creators to generate fully customizable characters, digital assets, and AI companions, positioning them at the intersection of generative AI, gaming, and social platforms.

This is a high-impact role within a growing R&D team, focused on building cutting-edge machine learning systems for media generation. You’ll work on models that power character creation, digital fashion, and interactive experiences, helping define how users create and express themselves in digital environments.

What You’ll Do

• Design, train, and deploy ML models for high-quality image, video, and 3D asset generation
• Work across computer vision and graphics to generate meshes, textures, and motion
• Build and optimize generative models such as diffusion, GANs, and transformer-based architectures
• Integrate ML systems into user-facing creative tools and applications
• Collaborate with product, engineering, and creative teams to ship AI-powered features
• Manage ML infrastructure including datasets, experiments, and deployment pipelines
• Stay up to date with emerging research and apply new techniques to production systems

Requirements

• Master’s degree or higher in Computer Science, Machine Learning, Computer Vision, or related field
• 3+ years of experience in machine learning, computer vision, or computer graphics
• Strong Python skills and experience with frameworks such as PyTorch or TensorFlow
• Experience with generative models (diffusion, GANs, VAEs) and modern architectures (Transformers, ViTs, etc.)
• Solid understanding of 3D graphics, computational geometry, or related areas
• Experience working in cross-functional teams and communicating technical concepts clearly

Nice to Have

• Experience with 3D reconstruction, tracking, or geometry analysis
• Familiarity with neural rendering techniques such as NeRF or Gaussian Splatting
• Experience scaling ML models and optimizing training pipelines
• Background in distributed training, data pipelines, and experiment tracking
• Publications or contributions to research or open-source projects

If you’re interested in building next-generation generative AI systems at the intersection of media, gaming, and identity, this is a unique opportunity to help shape a rapidly emerging space.

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Complaints Insight Specialist

Up to £45,000

Nottingham (3 days a week on-site)

This is an opportunity to join a highly data-driven team where customer insight directly shapes business decisions. Sitting at the intersection of analytics, operations, and strategy, this role offers strong visibility across the organisation and the chance to influence meaningful improvements to customer outcomes.

THE COMPANY

They are a well-established financial services organisation known for putting data at the heart of decision making. With a strong focus on customer experience and continuous improvement, they invest significantly in both technology and people. The business promotes a collaborative and inclusive environment, with clear progression pathways and structured development opportunities. You will be joining a forward-thinking team that values curiosity, innovation, and impact.

THE ROLE

As a Complaints Insight Specialist you will work within a specialist complaints insight function, partnering closely with operations and wider business stakeholders to drive change through data.

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

• Analyse complaints data using Excel to identify trends, root causes, and opportunities for improvement
• Translate complex data into clear, actionable insights and compelling narratives
• Work in close collaboration with operations teams to respond to emerging customer issues in real time
• Support the development and optimisation of complaints strategy and processes
• Partner with stakeholders across the business to implement insight-led improvements
• Contribute to regulatory reporting and external insight, including industry and ombudsman trends
• Deliver presentations and reports to both technical and non-technical audiences

SKILLS AND EXPERIENCE

The successful Complaints Insight Specialist will have the following skills and experience:

• Strong experience working with complaints data within a regulated environment
• Advanced Excel skills and confidence handling datasets to generate insights
• Ability to translate analysis into clear business recommendations
• Strong stakeholder management and communication skills
• Experience in root cause analysis and process improvement
• Comfortable influencing across functions and presenting to varied audiences
• Exposure to SQL or Google Workspace tools is beneficial but not essential

BENEFITS

The successful Complaints Insight Specialist will receive the following benefits:

• Salary up to £45,000 – depending on experience

HOW TO APPLY

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Experimentation Specialist
London (Central), up to £45,000
This is a hands-on experimentation role with real ownership, sitting at the heart of a growing Centre of Excellence. You will work across multiple digital platforms, shaping experimentation strategy while remaining close to delivery and impact.
The Company
They are a large, established retail group with a strong digital footprint and a growing focus on data-led decision making. With multiple consumer brands under one umbrella, experimentation plays a critical role in improving customer experience and commercial performance. The business is investing heavily in experimentation capability, tooling and best practice. This role sits within a newly formed experimentation function that operates as an internal consultancy across the group.
The Role

• Support the build-out of a Centre of Excellence for experimentation across digital teams
• Translate business objectives and OKRs into clear experimentation roadmaps
• Prioritise, design and execute A/B tests across web and digital platforms
• Act as a hands-on experimentation specialist, not just test execution but strategic input
• Analyse results, communicate insights and influence decision making
• Partner closely with product, tech, analytics and CRM teams
• Own relationships with implementation and engineering teams to ensure tests are set up correctly
• Support the separation and alignment of website experimentation and CRM testing activity

Your Skills & Experience

• Strong experience running experimentation or CRO programmes in a digital environment
• Hands-on experience setting up and analysing A/B tests
• Solid understanding of experimentation principles, metrics and statistical concepts
• Experience with digital analytics and experimentation tools such as GA4, Optimizely or similar platforms
• Ability to build, communicate and manage an experimentation roadmap
• Confident working cross-functionally and independently in a fast-paced environment
• Comfortable balancing strategic thinking with hands-on delivery

What They Offer

• Salary up to £45,000 depending on experience
• Hybrid working with a strong in-office culture in central London
• The opportunity to help shape experimentation capability from the ground up
• High ownership and visibility across multiple digital brands
• Clear progression and long-term career development within experimentation and analytics
• Exposure to modern experimentation and analytics tooling
• A broad role covering strategy, analytics and implementation support

How to Apply
If you are looking for an experimentation role where you can have genuine impact and help shape best practice across a complex digital environment, apply today.

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Experimentation Specialist

Oxford Street, London (4 days onsite)
Up to £45,000

I’m working with a large retail company who are building out a Centre of Excellence in Experimentation and hiring an Experimentation Specialist to support this growth.

You’ll work closely with the Senior Experimentation Manager, acting as an internal consultant across the group, driving testing strategy and execution across multiple digital platforms.

The Role

• Support the build-out of an experimentation centre of excellence
• Translate business OKRs into A/B testing roadmaps
• Own test prioritisation, ideation and execution
• Run experiments end-to-end (design → launch → analysis → insight)
• Work closely with Tech teams to ensure correct test implementation
• Support both website experimentation and CRM testing strategy
• Communicate results and influence stakeholders across the business

This is a hands-on role – you’ll need to think strategically while still being able to execute and deliver.

About You

• Proven experience running experimentation / CRO programmes
• Hands-on experience building and analysing A/B tests
• Strong understanding of experimentation principles & metrics
• Experience with tools like Optimizely, GA4 or similar
• Confident working cross-functionally with Product, Tech & CRM teams
• Able to prioritise and work independently

Nice to have:

• Experience with user testing tools
• Exposure to CRM vs website experimentation

Benefits

• 20 days holiday + bank holidays
• Pension (3% employer / 5% employee)
• 20% discount across all brands (including sale)
• Discounted gym + Everlast membership (£10/month)
• Access to wellbeing & financial support (Retail Trust)
• Monthly recognition schemes + bonus opportunities
• Internal referral scheme (£500-£1000)
• Learning & development platform with unlimited access

How to Apply

Drop me a message or apply directly via LinkedIn.

Please note: this role is 4 days onsite (Oxford Street) – you’ll need to be comfortable with this before applying.

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SEO Manager
London or East Midlands | £33,000 to £45,000
This is an opportunity to step into a high-impact SEO Manager role where you will take real ownership of organic performance for a major e-commerce website. With two hires aligned to different retail propositions, this role offers scale, autonomy and visibility in a fast-paced, commercially driven environment.
The Company
They are a large, established UK retail organisation operating across multiple consumer brands with a strong digital footprint. Organic search plays a critical role in commercial performance, and SEO is highly valued across the wider business. With significant investment in tools, technology and agency support, they provide an environment where SEO can genuinely influence trading, buying and growth decisions.
The Role
You will own SEO performance for a key retail website, driving visibility, traffic and revenue through a hands-on, full-stack approach.

• Take end-to-end ownership of organic performance including rankings, traffic and revenue
• Build and execute SEO strategy across technical SEO, content and on-site optimisation
• Identify growth opportunities through keyword research and performance analysis
• Maintain site health including crawling, indexing and technical best practice
• Collaborate with internal commercial, trading and buying teams
• Manage and partner with external agencies to deliver SEO initiatives
• Track, analyse and report on performance against KPIs
• For one of the roles, support the development of more junior SEO team members

Your Skills & Experience

• Strong hands-on experience in SEO, either in-house or agency side
• Confidence owning and prioritising SEO activity in a fast-moving environment
• Experience across technical SEO and content optimisation
• Commercial mindset with the ability to influence stakeholders outside of marketing
• E-commerce experience is beneficial, though not essential
• Comfortable using tools such as Screaming Frog, Google Search Console and GA4
• Experience with enterprise SEO platforms and keyword tracking tools is a plus

What They Offer

• Salary between £33,000 and £45,000 depending on experience
• Hybrid working with four days per week in the office
• 20 days holiday plus bank holidays
• Pension scheme and wellbeing support
• Generous staff discounts across multiple consumer brands
• Discounted gym membership and cycle to work scheme
• Clear ownership, autonomy and exposure across large-scale retail websites
• Strong investment in learning, tools and agency support

How to Apply
If you are an SEO Manager looking for real ownership, scale and commercial impact, apply today to learn more about this opportunity.

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Marketing Analyst
Swindon – Hybrid
Up to 50k

This is an opportunity to join a data driven, consumer focused business where marketing decisions are led by experimentation and customer insight. The role stands out for its strong focus on segmentation, testing strategy, and improving customer lifetime value across both digital and offline channels.

The Company
They are a well established organisation operating across multiple customer touchpoints, combining digital and physical experiences. Their marketing function is highly collaborative, with a clear emphasis on data led decision making and continuous optimisation. They are investing in advanced analytics capabilities to better understand customer behaviour and drive sustainable growth. The environment is fast paced, commercially focused, and centred around measurable impact.

The Role
You will work closely with marketing and CRM teams to drive performance through experimentation, audience strategy, and deep customer analysis.

• Develop and refine customer segmentation to improve targeting and personalisation across acquisition and CRM
• Design, run, and evaluate experiments to optimise campaigns, messaging, and audience strategies
• Build frameworks to measure incrementality and understand true marketing impact
• Analyse customer behaviour across the lifecycle to identify opportunities to increase retention, frequency, and value
• Identify high value customer segments and support strategies that maximise customer lifetime value
• Partner with channel teams to optimise performance across paid media and CRM
• Use SQL to analyse large datasets and generate actionable insights
• Translate complex results into clear recommendations that influence marketing decisions

Your Skills and Experience

• Strong commercial experience in marketing or customer analytics
• Expertise in customer segmentation
• Experience designing and evaluating experiments, including A/B testing and incrementality
• Solid understanding of customer lifetime value and lifecycle strategy
• Proficiency in SQL
• Desired experience using Python or R for analysis
• Experience working with marketing data across channels such as paid media and CRM
• Ability to communicate insights clearly to both technical and non technical audiences
• A proactive, test and learn mindset with strong attention to detail

What They Offer

• 3 days in office in Swindon
• Opportunity to shape experimentation and segmentation strategy within a growing analytics function
• Progression opportunities within a data led business

How to Apply
If you are interested in applying, please submit your CV to learn more about this opportunity.

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SEO Manager (Website)

London, 4 days per week in office (5 day working week) , up to £45000

A great opportunity to take ownership of SEO performance for a high‑traffic ecommerce site, driving organic growth and shaping strategy within a fast‑paced digital environment. This role is ideal for someone who enjoys leading SEO direction while still being hands‑on with technical and content optimisation.

The Company

They are a large, multi‑brand retail organisation with a strong digital presence and a focus on continuous improvement. Their teams work in an ambitious, data‑driven environment where SEO plays a crucial role in scaling traffic, revenue and online visibility. You will join a supportive team that values expertise, collaboration and commercial impact.

The Role

* Manage and optimise SEO performance across an allocated site
* Develop and deliver the SEO roadmap covering technical, on‑page and content activity
* Lead keyword research, technical audits and site improvements
* Oversee day‑to‑day SEO operations and support a small team
* Analyse KPIs, report on performance and identify growth opportunities
* Partner with wider teams on content, PR, usability and site architecture
* Keep ahead of industry trends and champion SEO best practice

Your Skills and Experience

* Strong commercial experience in an SEO‑focused role within ecommerce
* Confident managing technical SEO, keyword strategy and onsite optimisation
* Ability to analyse performance data and translate it into clear actions
* Experience presenting results, insights and recommendations
* Comfortable leading workflows and supporting junior team members
* Strong understanding of usability, content structure and user behaviour

What They Offer

* Up to £45000 plus benefits
* Four‑days a week in the office, 5 day working week
* Opportunity to lead SEO strategy for a major consumer brand
* Growth potential and exposure to high‑impact digital projects

How to Apply

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

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Marketing Analyst

Salary: Up to £50,000
Location: Swindon (3 days per week in office)

We’re looking for a commercially minded Marketing Analyst to join a growing digital and customer team. This role is focused on driving marketing performance through data-led insights, experimentation, audience analysis, and customer segmentation across both eCommerce and retail channels.

You’ll work closely with marketing and CRM teams to optimise acquisition, retention, and customer engagement strategies, helping shape smarter decision-making across paid media and lifecycle marketing activity.

Key Responsibilities

• Analyse marketing campaign performance across paid search, paid social, CRM, and other channels

• Design and evaluate A/B and incrementality tests to improve campaign effectiveness

• Build customer audiences and segmentation strategies to drive engagement and retention

• Identify trends and opportunities within customer and transactional data

• Support attribution and measurement approaches to improve marketing investment decisions

• Partner with cross-functional teams to translate insights into actionable optimisation strategies

About You

• Strong SQL skills and experience using Python or R for analysis

• Experience working with marketing, customer, or eCommerce datasets

• Understanding of experimentation, statistical testing, and marketing measurement

• Commercially minded with a strong analytical and problem-solving approach

• Excellent communication skills with the ability to influence stakeholders

Desirable Experience

• Retail or eCommerce experience

• Exposure to platforms such as GCP, Snowflake, or Databricks

• Understanding of customer lifecycle, retention, and lifetime value metrics

This is a great opportunity for someone who enjoys combining analytics, experimentation, and commercial thinking to drive measurable business growth.

Find out more and apply via the link below.

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Senior Marketing Analyst
London Hybrid (3 days in office)
Up to £85,000 + benefits

We’re hiring a Senior Marketing Analyst to join a fast-paced, data-driven consumer finance business operating at scale across multiple markets.

This is a highly commercial role sitting within the growth analytics function, focused on improving marketing performance, attribution, and customer acquisition efficiency across multiple channels.

What you’ll be doing:
* Analysing marketing performance across digital and offline channels
* Evaluating spend efficiency across platforms such as paid social, search and emerging media
* Tracking and understanding customer acquisition sources and channel effectiveness
* Supporting and improving attribution methodologies (including multi-touch attribution)
* Identifying drop-off points across marketing and application funnels
* Improving conversion across customer journeys and product pathways
* Building models to assess campaign effectiveness and incremental uplift
* Supporting experimentation and statistical analysis to guide marketing decisions

What we’re looking for:
✔ Strong SQL and Python skills (Python essential for technical work)
✔ 3-5+ years’ experience in marketing analytics or growth analytics
✔ Strong experience in attribution modelling (including multi-touch approaches)
✔ Confident working with complex customer journeys and funnel analysis
✔ Strong commercial mindset with ability to influence marketing decisions
✔ Experience in consumer tech, fintech or complex digital products preferred
✔ Strong stakeholder communication and storytelling skills

Why join?
* High-growth, profitable fintech with strong US expansion
* Highly commercial, fast-paced environment
* Strong influence over marketing strategy and budget decisions
* Opportunity to work on complex attribution and experimentation challenges
* Equity included in package

Please note:
* Hybrid working (Tues-Thurs in office) is non-negotiable
* No sponsorship available

Apply now or get in touch for more details.

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Web Analyst
London – Hybrid Working (3 days in office)

Up to £46,000 + bonus

A leading international retail business is looking for a hands-on Web Analyst to join their growing digital function.

This is a highly implementation-focused role sitting within a specialist analytics team supporting multiple well-known retail and eCommerce brands across Europe. You’ll work closely with stakeholders across digital, UX, content and online teams, taking ownership of tracking requirements from definition through to delivery.

Key responsibilities include:

• Hands-on GA4 and GTM implementation

• Managing and improving tracking across websites and digital platforms

• Working directly with stakeholders to define tracking requirements

• Supporting GDPR/cookie consent tracking compliance

• Collaborating across multiple international retail brands

• Opportunity to gain exposure to mobile app tracking/Firebase

What they’re looking for:

• Strong hands-on experience with GA4 and Google Tag Manager

• Experience implementing tracking yourself (not just managing agencies/developers)

• Good understanding of GDPR and cookie consent management

• Confident communication skills with technical and non-technical stakeholders

• Agency background beneficial but not essential

• Interest in app tracking/mobile analytics is a plus

The environment is fast-paced, collaborative, and ideal for someone who enjoys ownership and technical implementation work rather than dashboard/report creation.

Hybrid working: Monday set office day + 2 flexible office days weekly.

Unfortunately, sponsorship is not available for this position.

Find out more and apply via the link below!

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