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Senior AI Engineer
London Hybrid (3 days per week)
Up to £120,000

This is an opportunity to join a growing, data-focused organisation that is investing heavily in AI to drive product innovation and business performance. You will play a key role in designing and building production AI systems, working in a collaborative environment where engineering quality and real-world impact are prioritised.
The Company
They are a scaling, data-led business with a strong focus on leveraging AI and machine learning to enhance their products and services. With a modern technology stack and a clear roadmap for growth, they are building out their AI capability to support increasingly complex use cases. The culture is collaborative, delivery-focused, and encourages ownership across engineering teams.
The Role

• Design and deploy production-grade AI and machine learning models
• Build and maintain scalable data and AI pipelines
• Work closely with data, engineering, and product teams to deliver impactful solutions
• Contribute to system architecture and engineering best practices
• Improve model performance, monitoring, and deployment processes

Your Skills and Experience

• Strong commercial experience building and deploying AI and machine learning solutions
• Advanced proficiency in Python and modern ML libraries and frameworks
• Experience working with cloud platforms and scalable data systems
• Understanding of MLOps, model lifecycle, and deployment best practices
• Ability to collaborate effectively in a cross-functional environment

What They Offer

• Salary up to £120,000
• Hybrid working in London, 3 days per week onsite
• Opportunity to work on high-impact AI initiatives
• Modern tooling and a strong engineering culture
• Clear progression as the team continues to grow

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This is an role to be a part of paid media strategy within a fast growing digital environment. You will work across a mix of well recognised brands, driving performance through innovative campaigns while developing your expertise across broader digital channels.

The Company
They are a well established digital growth specialist that partners with a range of well known consumer and B2B brands. The business is known for its collaborative culture, strong analytical approach, and commitment to continuous learning. With a focus on delivering measurable outcomes, they combine strategy, media execution, and creative thinking to drive client success. The team environment encourages ownership, knowledge sharing, and professional growth.

The Role
You will lead the development and delivery of paid media strategies, owning campaign performance and client relationships end to end. Responsibilities include:

• Leading paid media strategy across paid search, social, and display
• Managing campaign planning, execution, testing, and optimisation
• Translating data into clear insights and actionable recommendations
• Owning client relationships and presenting to senior stakeholders
• Driving budget optimisation and performance improvements against KPIs
• Identifying new growth opportunities across accounts and channels
• Mentoring and developing junior team members
• Supporting cross channel strategy including analytics and conversion optimisation

Your Skills and Experience

• Hands on experience managing complex paid media campaigns
• Commercial understanding of performance marketing and digital strategy
• Confident working across multiple platforms such as Google Ads and paid social channels
• Strong analytical mindset with the ability to interpret and communicate data
• Experience managing client relationships and presenting insights
• Collaborative approach with the ability to mentor and support others
• Broader awareness of digital marketing including CRO, analytics, and creative

What They Offer

• Salary between 50,000 and 60,000
• Hybrid working model based in London
• Structured training and development opportunities
• Clear progression pathways and performance based growth
• Bonus scheme and additional benefits package
• Supportive and collaborative team environment

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Senior Marketing Data Analyst (12 month FTC)
London – hybrid 3x a week in office
Up to £80,000

This is a high-impact opportunity for a Marketing Data Analyst (FTC) to join a well-established, data-driven business operating at scale. You will work with large and complex digital marketing datasets, partnering closely with senior stakeholders to deliver insights that directly influence commercial performance. This role offers strong visibility, ownership of a key domain, and the chance to shape data-driven decision making within a collaborative analytics function.

The Company
They are a global, technology-led organisation with a strong focus on digital products and customer experience. Operating across multiple markets, they manage large volumes of customer and marketing data, investing heavily in analytics capabilities. The business has built a mature data function that partners closely with commercial, product and marketing teams. They offer a fast-paced environment with a strong emphasis on innovation and continuous improvement.

The Role

• Analyse performance across digital marketing channels to deliver actionable insights
• Partner with marketing stakeholders to optimise campaigns and improve ROI
• Provide insight into customer acquisition, engagement, retention and lifetime value
• Design and analyse A/B tests to support experimentation and performance improvement
• Build dashboards and enable self-serve analytics for non-technical stakeholders
• Collaborate with product, engineering and analytics teams on data solutions
• Act as a key point of contact for marketing analytics, influencing decision making

Your Skills and Experience

• Strong SQL capability and experience working with large datasets
• Proven experience in performance analytics within a digital environment
• Hands-on experience with experimentation and A/B testing
• Familiarity with tools such as Google Analytics or similar platforms
• Experience with data visualisation tools such as Looker or equivalent
• Strong stakeholder management and communication skills
• Exposure to modern data tools such as DBT is beneficial

What They Offer

• 12-13 month fixed term contract with realistic potential for extension or longer-term opportunity
• Access to learning, development and a collaborative analytics community

How to Apply
If you are a commercially minded Marketing Data Analyst looking to make an impact in a fast-moving, data-led environment, apply now to find out more.

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Senior Paid Media Manager
Hybrid – London 3x a week in office
Up to £60,000 + bonus

This is an opportunity to take true ownership of paid media strategy within a high growth, performance focused digital agency. You will work closely with senior stakeholders, shape multi-channel campaigns, and play a key role in delivering measurable growth for a diverse portfolio of clients.

The Company
They are a well-established digital growth agency known for delivering insight led marketing across paid media, CRM, and experimentation. The business has built a strong reputation for its collaborative culture, fast paced environment, and commitment to continuous learning. Teams are encouraged to develop across multiple digital disciplines, providing broad exposure and genuine career progression. With an emphasis on innovation and performance, they partner with leading brands across a variety of sectors.

The Role
You will operate as a senior, client facing paid media specialist with responsibility for both strategy and execution.

• Own and develop senior client relationships, acting as a trusted advisor on paid media strategy
• Lead end to end campaign delivery across paid search, paid social, and display
• Design cross channel strategies aligned to commercial objectives and performance KPIs
• Manage campaign setup, optimisation, budgets, targeting, and creative testing
• Drive a test and learn approach to continuously improve performance
• Deliver performance analysis, reporting, and clear actionable insights
• Present campaign results and strategic recommendations to senior stakeholders
• Identify new growth opportunities across client accounts and contribute to wider agency development
• Collaborate with analytics, CRO, and digital strategy teams to drive integrated outcomes

Your Skills and Experience

• Strong hands on experience across paid media channels, particularly paid search and paid social
• Proven ability to manage complex campaigns and significant budgets
• Data driven mindset with the ability to analyse performance and extract insights independently
• Confident communicator with strong presentation and client facing skills
• Experience developing strategy and executing campaigns end to end
• Comfortable balancing hands on delivery with strategic oversight
• Ability to manage multiple client accounts and prioritise effectively
• Experience working in a fast paced agency or similar environment is advantageous

What They Offer

• Clear progression opportunities with scope to move into leadership responsibilities
• Ongoing training and development across digital marketing disciplines
• Exposure to a broad range of clients and campaign types
• A collaborative and sociable working environment with regular team activities and benefits

How to Apply
If you are looking for a role where you can take ownership of paid media strategy and accelerate your career in a high performing environment, apply now.

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Senior Machine Learning Engineer
Fully Remote, United States | $200,000 to $230,000 base plus equity and benefits

This is a high impact opportunity to shape how Vision Language Models are applied in real world, production grade systems. You will play a central role in building and scaling VLM driven intelligence that connects edge devices with cloud based reasoning, influencing both technical direction and product outcomes in a fast moving environment.

The Company
They are a technology led organisation building intelligent, connected solutions that blend advanced machine learning with real world operational workflows. Their platform is designed to turn complex visual data into actionable insights at scale. The team brings together expertise across machine learning, computer vision, embedded systems and data science, with a strong focus on building systems that perform reliably in production.

The Role

• Own the design and development of cloud based Vision Language Model pipelines used for large scale labelling and annotation
• Drive decisions on what visual signals, metadata and contextual information are captured from edge devices to maximise VLM performance
• Build and evaluate end to end inference systems, including prompt design, fine tuning strategies and model benchmarking
• Partner closely with embedded systems, computer vision and data science teams to close the loop between devices and cloud intelligence
• Stay at the forefront of the VLM landscape, assessing and integrating commercial and open source models as capabilities evolve

Your Skills and Experience

• Strong commercial experience as a machine learning engineer working with computer vision, LLMs or Vision Language Models
• Hands on experience evaluating, fine tuning or deploying VLMs in production environments
• Deep understanding of how edge constraints such as bandwidth, latency and compute influence model design
• Proficiency with Python, PyTorch and modern cloud based inference and evaluation tooling
• Practical expertise in prompt engineering and model evaluation, with a focus on measurable performance improvements
• Comfortable owning problems end to end and collaborating across hardware and software teams

What They Offer

• Competitive base salary of $200,000 to $230,000 plus equity
• Fully remote working across the United States
• Comprehensive benefits including medical, dental and vision cover
• Flexible paid time off and a strong culture of autonomy and trust
• The opportunity to be a technical leader in the application of Vision Language Models at scale

How to Apply
If you are excited by the challenge of building production grade VLM systems with real world impact, apply now to learn more about this opportunity.

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Principal Data Scientist
Remote or Hybrid, United States.
Competitive salary plus bonus and benefits

This is a senior-level opportunity to shape the direction of data science and artificial intelligence within a high-impact, product-focused environment. You will operate as a technical leader, driving complex initiatives from concept through delivery while influencing how advanced analytics and AI capabilities are embedded into end-user experiences.

The Company
They are an established organisation investing heavily in data science and AI to enhance their products and deliver meaningful outcomes at scale. Operating at the intersection of technology, data, and user experience, they bring together cross-functional teams to solve complex problems.

The Role
* Lead the design and delivery of high-impact data science and AI solutions aligned to strategic business objectives
* Provide technical leadership across multiple workstreams, ensuring projects are well-scoped, prioritised, and delivered effectively
* Collaborate with product, engineering, and business stakeholders to define problems and translate them into scalable data solutions
* Develop and implement production-grade machine learning and AI systems, including generative AI capabilities
* Communicate insights, recommendations, and technical concepts clearly to a range of stakeholders

Your Skills & Experience
* Strong expertise in data science, machine learning, or artificial intelligence, demonstrated through academic or industry work
* Proven track record of building and deploying production-scale data and AI systems, including experience with generative AI
* Ability to independently define problems, design solutions, and deliver results end-to-end
* Experience providing technical leadership and guiding cross-functional teams
* Strong communication skills, with the ability to influence both technical and non-technical audiences

What They Offer
* Competitive salary with bonus and comprehensive benefits
* Opportunity to lead strategic AI and data initiatives with real business impact
* Collaborative, cross-functional working environment
* Flexibility through remote or hybrid working
* Clear progression opportunities within a growing data and AI function

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AI Scientist (Genomics Foundation Models)
Cambridge, MA.
$200,000 to $230,000 base salary plus bonus and equity

This is a unique opportunity to drive cutting-edge research at the intersection of AI, genomics, and healthcare. You will play a central role in shaping the research direction of an early-stage, high-growth team building foundational models to transform how complex diseases are detected and monitored. With strong backing and access to high-quality multimodal data, this role offers both scientific depth and real-world impact.

The Company
They are an early-stage, well-funded organisation applying advanced machine learning to healthcare, with a focus on improving early detection and long-term patient outcomes. Their approach combines genomic, clinical, and longitudinal data to develop next-generation predictive systems.

The Role
* Define and drive research strategy across AI, genomics, and oncology to maintain a state-of-the-art approach
* Design, train, and evaluate machine learning models for biomarker detection, risk stratification, and longitudinal patient monitoring
* Develop and advance foundation models and reinforcement learning systems for healthcare applications
* Lead scientific publications, conference contributions, and technical knowledge sharing
* Partner with engineering teams to translate research into production-grade systems used in clinical workflows
* Build rigorous evaluation frameworks and validation methodologies to meet scientific and clinical standards
* Collaborate with cross-functional stakeholders including clinicians, researchers, and product teams

Your Skills & Experience
* Strong academic background in machine learning, computational biology, or a related field
* Proven track record of research contributions in applied AI, including large-scale or foundation models
* Hands-on experience developing and evaluating machine learning models using Python and frameworks such as PyTorch, JAX, or TensorFlow
* Experience working with modern ML infrastructure, including GPU or TPU environments and scalable pipelines
* Strong understanding of experimental design, evaluation, and statistical rigor
* Ability to communicate complex technical concepts to both scientific and non-technical audiences

What They Offer
* Base salary between $200,000 and $230,000 with additional bonus and equity
* Opportunity to shape the research direction of an early-stage AI organisation
* Access to high-quality datasets and interdisciplinary collaboration
* Strong career progression as the team scales
* Collaborative, high-performance culture focused on scientific excellence and ownership

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AI Engineer (Genomics / Foundation Models)
Cambridge, MA.
$200,000 to $230,000 base salary plus bonus and equity

This is a rare opportunity to join an early-stage AI team working at the intersection of healthcare, genomics, and machine learning. You will help build production systems powered by foundation models and multimodal healthcare data, with the goal of transforming how complex diseases are detected and monitored. The role offers significant ownership and the chance to shape technical direction from the ground up.

The Company

They are an early-stage, well-funded organisation applying advanced machine learning to healthcare challenges with a strong focus on improving early detection and long-term outcomes. Their approach combines multiple data sources, including genomic and longitudinal patient data, to build next-generation predictive systems.

The Role

* Design, build, and deploy machine learning systems for complex, real-world healthcare applications
* Develop and productionise foundation models and multimodal learning systems operating on genomic and healthcare datasets
* Build scalable ML pipelines covering data ingestion, feature engineering, training, and model serving on cloud platforms
* Develop reinforcement learning and predictive models for risk stratification and longitudinal monitoring
* Translate cutting-edge research into production-grade systems used in clinical workflows
* Implement robust evaluation, testing, and monitoring frameworks to ensure system reliability and performance
* Collaborate with cross-functional teams including clinicians, product, and engineering stakeholders

Your Skills & Experience

* Strong commercial experience building and deploying machine learning models in production environments
* Proficiency in Python and modern ML frameworks such as PyTorch, JAX, or TensorFlow
* Experience developing ML infrastructure and pipelines using cloud platforms such as AWS or GCP
* Solid software engineering fundamentals including testing, CI CD, and version control
* Experience working with complex or multimodal datasets
* Strong communication skills with the ability to work across technical and non-technical teams

What They Offer

* Base salary between $200,000 and $230,000 with additional bonus and equity
* Meaningful ownership and influence in an early-stage, high-growth environment
* Opportunity to work on cutting-edge AI within healthcare and genomics
* Collaborative, in-person working model in a leading innovation hub
* Access to high-quality datasets and interdisciplinary expertise
* Clear career progression as the organisation scales rapidly

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Senior Machine Learning Engineer / ML Scientist
Remote, United States
$160,000 to $210,000 base salary plus bonus and equity

This is an opportunity to join a high-impact machine learning team where your work directly influences real-time decisioning at scale. You will operate with a high level of ownership, designing and deploying models that solve complex problems in a production environment. The role blends scientific experimentation with strong engineering execution, offering the chance to shape both model performance and the systems that support it.

The Company

They are a fast-growing technology business operating at the intersection of machine learning and financial risk within e-commerce. Their platform enables large-scale, real-time decision-making across global transactions, helping customers optimise outcomes while reducing risk exposure.

The Role

* Design, build, and deploy machine learning models that operate in high-scale, real-time environments
* Own the full lifecycle of ML projects from experimentation through to production deployment and monitoring
* Develop advanced modelling approaches, including ensemble methods and performance optimisation techniques
* Build and improve offline evaluation frameworks to ensure robust and reliable model performance
* Work with large-scale distributed systems and datasets using tools such as Python, SQL, and Spark
* Collaborate cross-functionally with engineering, product, and risk teams to translate business challenges into ML solutions
* Contribute to a culture of experimentation, innovation, and continuous improvement within the ML function

Your Skills & Experience

* Strong commercial experience delivering machine learning solutions in production environments
* Deep understanding of machine learning theory, statistical modelling, and evaluation methodologies
* Proven ability to design and run experiments independently, from problem definition through to insight generation
* Experience working with large-scale distributed data processing systems, particularly Spark
* Strong programming skills in Python and SQL
* Experience taking models from research through to scalable deployment
* Academic background in a quantitative field such as Computer Science, Statistics, or similar is valued
* Experience in fraud, payments, or e-commerce is beneficial but not essential

What They Offer

* Competitive base salary between $160,000 and $210,000 depending on level and location
* Annual bonus and equity package
* Unlimited paid time off
* Retirement plan with employer contribution
* Comprehensive healthcare, dental, and vision coverage
* Paid parental leave and wellbeing support
* Learning and development budget
* Flexible remote working with minimal in-person requirements
* Clear progression opportunities within a growing machine learning organisation

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Senior Director – Applied AI Research (LLMs / NLP for Enterprise Solutions)
Company: Global AI & Compliance Software Leader
Total Comp up to $570K

Mission:

We’re partnering with a global leader in AI-driven SaaS solutions to find a Senior Director of Applied Research. This is a mission-critical leadership role overseeing the AI/ML research strategy for complex enterprise applications in the corporate Tax & Trade domain.

You will be responsible for driving innovation at scale: leading teams, shaping strategy, and owning delivery of AI features powered by NLP, LLMs, and Intelligent Agent frameworks. You’ll work cross-functionally to transform AI concepts into real-world features integrated into enterprise platforms used by Fortune 500 clients.

This role combines hands-on technical leadership with strategic product influence, and is ideal for someone with deep experience in turning advanced research into commercial impact, especially in regulated, content-rich environments.

Key Missions:

• Lead a large team of scientists and engineers through the full ML lifecycle
• Build scalable AI/NLP features for intelligent assistants and classification tools
• Champion innovation using LLMs, RAG, and AI agent frameworks
• Align with product and executive stakeholders to define strategic priorities
• Represent the AI vision internally and externally (including client conversations)
• Create a high-performance team culture rooted in curiosity and delivery

Ideal Background:

• 10+ years in AI/NLP system development; 5+ years in leadership roles
• Enterprise experience with AWS-based ML systems in production
• Deep understanding of LLM integration and agentic architecture design
• Excellent communicator and stakeholder manager
• Strong academic grounding (PhD or similar) and bonus: research publications

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Machine Learning Engineer / Founding Engineer
NYC
Up to $220K

About the Opportunity

I’m working with a high-growth AI startup in New York City that is building intelligent solutions at the intersection of machine learning and cloud infrastructure. This role offers the chance to join a small, ambitious team where you’ll have genuine ownership and impact.

The Role

We’re looking for a Machine Learning Engineer who enjoys working hands-on across the stack and is comfortable taking projects from 0→1. You’ll:

• Build and deploy ML pipelines at scale.

• Work on AI-powered features such as assistants, forecasting, and anomaly detection.

• Design secure and scalable systems in cloud environments (AWS, GCP, Azure).

• Collaborate directly with leadership on product direction and technical decisions.

Profile

• 5+ years of applied ML/AI engineering experience.

• Strong Python skills with frameworks like PyTorch (bonus if you’ve worked with Hugging Face or LangChain).

• Proven track record of shipping ML features into production.

• Solid understanding of cloud infrastructure and tools like Terraform/Git.

• Startup mindset: proactive, adaptable, and motivated by building real-world products.

Location & Package

• Hybrid – New York City (West Village).

• Competitive salary in the range of $160k-$220k + benefits.

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Director of Machine Learning
NYC

An award-winning AI company at the forefront of real-time programmatic technology, delivering impactful, data-driven solutions for global brands.

Mission:

We’re looking for a Senior Machine Learning Engineering Leader to own the ML infrastructure and guide the technical strategy. You will lead a team of engineers, ensure scalable, fault-tolerant ML pipelines, and collaborate with product and engineering teams to align ML systems with business goals.

Desired Profile:

• Minimum 8 years in ML engineering, with at least 3 years in leadership roles.

• Hands-on experience with cloud platforms (AWS, Databricks), MLOps tools (MLflow, Prometheus), and CI/CD pipelines.

• Proficiency with deploying low-latency ML solutions and advanced architectures, including LLMs, vector stores, and Rust microservices.

• Strong stakeholder communication and ability to mentor and grow engineering talent.

• Background in advertising or performance marketing a bonus.

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