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Senior Machine Learning/Research Engineer

London (Old Street / Moorgate)

Up to £140,000 + bonus

About the Role

We are working with a leading quantitative technology firm that’s working at the cross roads of machine learning research and high-performance trading. You’ll join a highly skilled Research Engineering team, in a fast-moving, high-volume environment.

This role is all about taking cutting-edge ML research projects and moving them into production – building robust pipelines that allow models to trade with reliability and speed. You’ll be hands-on with code (around 80% of your time), collaborating closely with ML scientists, and owning solutions from ingestion to deployment.

Key Responsibilities

• Collaborate with ML scientists to ingest and process large-scale, high-frequency market data.
• Build and maintain pipelines for training, backtesting, and deploying ML models into a live trading environment.
• Ensure production systems are reliable, scalable, and optimised for ultra-low latency trading.
• Take ownership of end-to-end solutions, from research to execution.

What We’re Looking For

• 5+ years’ experience in high-level engineering roles.
• Proven track record building ML research pipelines in complex technical environments.
• Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure).
• Strong mathematical or statistical background.
• Background in AI-driven industries such as AI drug discovery, AdTech, ML health-tech, research labs, or high-end finance.
• Independent, self-driven engineers who can own delivery without hand-holding.

Interview Process

1. Intro with hiring manager and recruiter.
2. Take-home technical test.
3. Technical interview discussing your solution.
4. Onsite with their Amsterdam team.

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Lead Data Scientist – ML Focused

Hybrid- UK

Up to £90,000 + Benefits

About the Role

We’re hiring a Lead Data Scientist to join a fast-growing, specialist data consultancy delivering high-impact solutions across sectors such as energy, public sector, manufacturing, and health. You’ll play a key role in solving complex challenges using cutting-edge ML or GenAI approaches, working end-to-end across projects in a client-facing capacity. This is a leadership position, ideal for someone who thrives in a consultancy environment and wants to deliver real-world impact.

Key Responsibilities

• Design and deliver data science solutions end-to-end, from discovery through deployment.
• Lead project teams, mentor junior colleagues, and manage delivery standards across multiple workstreams.
• Communicate complex findings clearly to senior stakeholders and clients.
• Support business development through proposal writing and pre-sales work.

We’re looking for someone with:

• Proven experience delivering data science projects in a consultancy setting.
• Strong Python skills with experience in ML or GenAI (e.g. LLMs, prompt engineering, optimisation).
• Excellent communication and stakeholder management abilities.
• A track record of managing teams and shaping development roadmaps.
• experience with cloud environments (AWS, Azure, GCP), and familiarity with MLOps lifecycle or solution architecture.

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Senior AI Software Engineer
London
£90,000-£130,000

I’m partnering with a dynamic AI consultancy that embeds itself within client businesses, listening closely, then building bespoke agentic AI solutions that automate processes, improve speed, and enhance decision-making.

Role Responsibilities

As a Senior AI Applied Engineer, you will:

• Build & Deploy AI-Driven Software Solutions
  You’ll blend software engineering and AI expertise to develop scalable, production-grade systems leveraging generative AI and agentic automation.
• Own Project-Based Work Across Diverse Domains
  You’ll tackle varied engagements, ranging in length and complexity, and support multiple clients.
• Ensure Scalable and Reliable Deployment
  Your role includes end-to-end responsibility for deploying AI solutions that are robust, maintainable, and optimized for performance at scale.
• Act as a Strong Team Contributor and Communicator
  While you won’t lead client engagements, you’ll work closely with clients and internal teams, translating client needs into technical solutions, requiring strong communication and stakeholder-facing capabilities.
• Leverage Generative AI Expertise
  Utilise your hands-on experience with generative AI tools or workflows, prompt engineering, LLM integration, or similar, but the emphasis is on engineering implementation and delivery.

Who We’re Looking For

Essential Qualifications & Experience

• Strong software engineering background with deep experience deploying scalable systems
• At least some commercial experience using Generative AI exposure (e.g., LLMs, agentic interfaces, prompt engineering) but primarily strong engineering fluency
• Comfortable with project-based, delivery-focused work, even if no prior consultancy experience
• Confident in client-facing situations and able to collaborate effectively with non-technical stakeholders
• Reliable, consistent work history; this is a long-term growth-focused opportunity within an expanding team of 5 for this role

Ready to Apply?

If this resonates with your background and career path, let’s talk. Please share your CV highlighting your engineering experience and where generative AI has featured, especially in deployment or integration roles.

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MLOps Engineer
London
£60,000-£70,000

About the Role:
Join a cutting-edge technology company at the forefront of immersive experiences powered by machine learning and extended reality. We are seeking a skilled MLOps Engineer to help build, deploy, and maintain scalable machine learning infrastructure that drives innovation in our products. You will play a critical role in developing scalable ML infrastructure that powers immersive XR applications with real-time 3D content.

Key Responsibilities:

• Design, develop, and maintain scalable MLOps pipelines tailored for XR applications, ensuring smooth deployment and monitoring of machine learning models.
• Collaborate closely with 3D artists and XR developers to integrate machine learning workflows with 3D rendering engines.
• Optimize ML models and workflows for real-time inference within 3D environments and XR platforms.
• Manage cloud infrastructure and automation tools to support continuous integration and continuous deployment (CI/CD) of ML models.
• Troubleshoot and resolve performance bottlenecks related to ML inference and 3D rendering workloads.
• Develop monitoring solutions to track model performance and system health in production.
• Stay up to date with the latest trends in MLOps, XR technologies, and 3D rendering techniques to propose innovative improvements.

Qualifications:

• Proven experience as an MLOps engineer or similar role with a focus on 3D applications
• Strong programming skills in Python, and familiarity with ML frameworks (TensorFlow, PyTorch, etc.)
• Expertise in 3D reconstruction and rendering
• Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker)
• Excellent problem-solving skills and ability to work cross-functionally in a fast-paced environment

Please register your interest for this role by sending your CV to Rosie O’Callaghan via the apply link on this page

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Director of Data Science – Audit & Regulatory

Location: 2-3 days/week hybrid in New York, New York

Compensation: $250,000 – $275,000 base salary + bonus + equity

ABOUT THE COMPANY

We are partnered with a high-growth financial services company at the intersection of AI, tax, and compliance, which is fundamentally transforming how regulated industries leverage language models and machine learning. This organization is building sophisticated NLP/LLM systems to streamline complex workflows for legal and financial professionals.

With executive-level support and increasing product demand, they’re seeking a Director of Data Science to lead strategy, research, and engineering execution across NLP and LLM initiatives for tax, compliance and auditing projects. This is a rare opportunity to drive technical vision, shape an elite ML team, and build impactful AI systems from the ground up in a regulated space.

THE ROLE

As Director of Data Science, you’ll be responsible for setting the long-term machine learning roadmap, leading technical teams, and ensuring the successful development and deployment of scalable NLP solutions. You will report directly to the Head of AI and work closely with executive leadership, product, and engineering.

Key Responsibilities:

• Define and align AI solutions with tax, audit, and compliance strategies to meet business goals and regulatory requirements.

• Build and manage a high-performing team focused on AI-driven tax, audit, and compliance innovations.

• Oversee end-to-end model development, ensuring AI solutions support regulatory adherence and operational efficiency.

• Collaborate with product, legal, engineering, and finance teams to design scalable, compliant AI solutions.

• Research and implement emerging LLM and NLP technologies to optimize tax reporting, auditing, and compliance processes.

• Represent the company in industry discussions, advocating for ethical AI and best practices in financial services.

• Ensure AI models are continuously monitored, optimized, and updated to meet changing regulations and business needs.

• Implement MLOps frameworks to ensure secure, transparent, and auditable AI deployments in financial operations.

• Champion data privacy, security, and compliance within AI models to adhere to regulations like GDPR and AML/KYC.

• Drive the development of AI tools that automate tax, audit, and compliance workflows, enhancing accuracy and efficiency.

YOUR SKILLS AND EXPERIENCE

Required Qualifications:

• 10+ years of experience in machine learning and data science, with at least 4+ years in a leadership or managerial role.
• Comfortable leading teams of 15+ data scientists and machine learning engineers
• Demonstrated success building and leading teams that develop and deploy NLP/LLM models at scale.
• Deep expertise in Python, ML frameworks (e.g., PyTorch, TensorFlow), and modern NLP tools (e.g., Hugging Face Transformers, spaCy).
• Experience designing and implementing ML systems in production, especially with large language models (e.g., GPT, BERT, T5).
• Extensive tax, compliance and/or audit domain experience.
• Comfortable with regulatory compliance processes, risk management, data privacy.
• Familiarity with the SEC, FCA and FINRA preferred
• Proven ability to align technical initiatives with business goals, working cross-functionally with product and exec teams.
• Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and scalable ML pipelines.
• PhD or Master’s degree in Computational Linguistics, Computer Science, Engineering, or a related technical field.
• Publication or open-source contributions in NLP/ML domains (e.g., ACL, NeurIPS, ICLR, EMNLP) a plus.

THE BENEFITS

• Senior-Level Management Compensation: $250,000 – $275,000 base + bonus + tangible equity.
• Hybrid Work Culture: 2-3 days/week in office in New York.
• Elite Talent Environment: Collaborate with top-tier researchers, engineers, and domain experts.
• Comprehensive Benefits: Full health, dental, vision, 401(k), and wellness programs.
• Strategic Impact: Lead a core function at the center of the company’s long-term success.

HOW TO APPLY

Submit your resume to Tim Jonas via the Apply link on this page. We’re excited to connect with experienced ML leaders ready to guide cutting-edge AI development in a deeply impactful space.

KEYWORDS:

Director | Machine Learning | NLP | LLMs | AI Leadership | ML Strategy | Deep Learning | Natural Language Processing | AI Platforms | NLU | NLG | Information Retrieval | Large Language Models | Legal Tech | Financial Services | Model Deployment | Engineering Management | AI Infrastructure | Hugging Face | Generative AI | Enterprise AI | Tax | Accounting | Audit | Auditing | Compliance | Regulatory | Risk Management | Data Privacy | Governance

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Title: Staff Machine Learning Engineer

Location: Hybrid – Redwood City, CA – 3x per week

Responsibilities:

• Designing and deploying advanced feed personalization algorithms and product recommendation systems
• Building scalable user behavior modeling solutions using convolutional neural networks and transformers
• Leading development of CV-based transformer models for enhanced product discovery
• Owning the complete ML lifecycle from data exploration through model deployment and maintenance
• Architecting scalable data platforms that support real-time personalization at scale

Qualifications:

• 7+ years of hands-on experience in data science and machine learning
• Deep expertise in personalization systems, specifically feed personalization and recommendation engines
• Proven experience with user behavior modeling and customer analytics
• Strong proficiency in convolutional neural networks, transformers, and CV-based transformer architectures
• Advanced skills in Python, SQL, Spark, Scala, and PySpark
• Extensive experience with PyTorch and TensorFlow frameworks
• Track record of deploying ML models in production environments at scale
• Experience building recommendation systems for e-commerce or retail platforms
• Background in computer vision applications for product discovery
• Knowledge of real-time ML serving infrastructure and MLOps practices
• Strong understanding of A/B testing and experimentation frameworks

Summary:

Join a dynamic team that’s transforming how customers discover and engage with products. You’ll work with state-of-the-art ML technologies while seeing direct impact on user experience and business metrics. The role offers significant technical ownership and the chance to shape the future of personalization technology.

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Research Engineer – Barcelona – English Speaking Required

Stealth Start Up

We are working with a very exciting start-up company that just received pre-seed funding and are looking for a Research Engineer to join their research team with some of the top minds in the industry.

You will be responsible for bridging the gap between science and engineering by adding the necessary engineering layer to the work produced by the scientists. This includes supporting the full lifecycle of machine learning models-from design and implementation to evaluation and deployment-ensuring their work successfully reaches production. Additionally, you’ll play a key role in closing the significant gap between the Science and Infrastructure teams, helping to create smoother collaboration and integration across the organisation.

They are looking for candidates to relocate to Barcelona, with an office right next to the beach!

Requirements:

• PhD in a relevant field
• Python, Pandas, PyTorch, NumPy
• Experience working with text or tabular data
• MLOps
• English speaking

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AI Engineer / ML Engineer – CRYPTO – REMOTE

We are collaborating with a cryptocurrency analytics firm that assists clients in identifying market opportunities, conducting due diligence, and protecting portfolios. The company is expanding its strategic capabilities in AI & ML.

They are seeking a skilled and driven Senior AI/ML Engineer to join their team. In this position, you will design and manage AI models to process extensive blockchain data, identifying patterns and insights that guide decision-making for cryptocurrency investors. As a Senior AI/ML Engineer, your work will be essential in enhancing the platform’s functionality, ensuring the delivery of a cutting-edge product to users. Your expertise will be instrumental in influencing the technology’s evolution and solidifying the company’s status as a leader in blockchain analytics.

You will need:

• Spearhead the design, implementation, and deployment of AI/ML models to analyze blockchain data, ensuring optimal performance and scalability.
• Work alongside product managers and engineers to integrate AI/ML models into the platform, boosting its analytical capabilities and enhancing the user experience.
• Stay up-to-date with the latest advancements in AI/ML and blockchain technologies, applying creative solutions to tackle complex challenges.
• Mentor junior engineers and foster best practices in AI/ML development within the team.
• Collaborate with cross-functional teams to ensure AI/ML projects align with business goals and customer requirements.

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Staff Machine Learning Engineer – Pricing

We’re looking for a senior-level Machine Learning Engineer to lead the development of advanced pricing optimisation systems that directly impact millions of global users. This is a high-visibility role, supporting strategic business goals and backed by executive sponsorship. The ideal candidate will combine deep technical expertise in machine learning and optimisation with strong product intuition and the ability to deliver production-ready solutions in a dynamic, collaborative environment.

This role focuses on building intelligent pricing and promotion solutions that maximise business value while maintaining a seamless customer experience. You’ll be part of a multidisciplinary team driving key business outcomes through data science, software engineering, and applied machine learning.

Key Responsibilities

• Lead the design and implementation of ML models for pricing elasticity, cannibalisation analysis, and multi-period promotional planning.

• Develop and deploy time-series forecasting models to estimate product demand across markets and product categories.

• Build optimisation workflows (e.g., with OR-Tools) to balance growth objectives with business constraints.

• Enhance clustering algorithms for product grouping and similarity detection, improving pricing strategies.

• Own the full ML lifecycle-from feature engineering and model training to validation, deployment, and performance monitoring.

• Apply a wide range of machine learning and deep learning techniques (e.g., classification, regression, time series, uplift modeling).

• Partner with product managers, analysts, and other engineering teams to translate business problems into scalable ML solutions.

• Collaborate with systems engineering teams to support the seamless integration of ML models into production environments.

• Mentor junior engineers and contribute to the overall technical vision and ML/AI strategy.

• Play a key role in shaping product and technology roadmaps through thought leadership and technical expertise

Please note the role will require travel to Dublin 1-2 times a month, which will not be expensed

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Lead Data Scientist – Personalization & Recommendation Engines

Location: SF Bay Area – Hybrid (3 days/week onsite)

Salary: $200-260k base + Equity

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You’ll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale.

What You’ll Do

• Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement.
• Own the ML development process-from data exploration and feature engineering to model training, deployment, and post-launch optimization.
• Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives.
• Experiment with emerging AI techniques, including GenAI, Computer Vision, and LLMs, to push the boundaries of what’s possible on the platform.
• Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion.

What You Bring

• 7-10 years of experience building, deploying, and maintaining ML models at scale.
• Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow.
• Proven track record in consumer tech or large-scale marketplaces companies.
• Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms.
• Background in user behavior modeling, search relevance, or real-time data systems.
• Strong foundation in experimentation (A/B testing), statistics, and applied ML.
• Exceptional communication skills and the ability to translate technical insights into business value.
• Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.

To Apply for this Job Click Here

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Staff Machine Learning Scientist

Location: SF Bay Area – Hybrid (3 days/week onsite)

Salary: $200-260k base + Equity

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You’ll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale.

What You’ll Do

• Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement.
• Own the ML development process-from data exploration and feature engineering to model training, deployment, and post-launch optimization.
• Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives.
• Experiment with emerging AI techniques, including GenAI, computer vision, and LLMs, to push the boundaries of what’s possible on the platform.
• Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion.

What You Bring

• 7-10 years of experience building, deploying, and maintaining ML models at scale.
• Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow.
• Proven track record in consumer tech or large-scale marketplaces companies.
• Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms.
• Background in user behavior modeling, search relevance, or real-time data systems.
• Strong foundation in experimentation (A/B testing), statistics, and applied ML.
• Exceptional communication skills and the ability to translate technical insights into business value.

• Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.

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Director, Applied Research – Corporates Tax & Trade
Location: Flexible / Remote (US)
Compensation: $300,000 to $350,000 base salary + performance bonus + comprehensive benefits ($500,000 to $570,000 total)

ABOUT THE COMPANY

We’re partnered with a market-leading enterprise operating at the intersection of AI, compliance, and enterprise software. Their suite of corporate tax and trade products supports global organizations across industries like retail, technology, and pharma. With a strong focus on intelligent automation and applied AI, they have recently launched innovative tools such as AI assistants and product classification engines, paving the way for a new era of compliance decision-making. This role offers the chance to shape the direction of enterprise AI with tangible, global impact.

THE ROLE

As Director of Applied Research for Corporates Tax & Trade, you will lead a high-performing team of over 20 applied scientists and research engineers. You will oversee end-to-end delivery of AI solutions that power mission-critical compliance tools while continuously driving innovation across the product ecosystem.

Key Responsibilities:

• Leadership and Team Development: Inspire, coach, and scale a top-tier applied research team. Set clear goals and foster a collaborative, high-performance culture.

• AI Product Innovation: Lead the development and deployment of advanced machine learning models powering AI assistants, product classification tools, and other intelligent features.

• Strategic Delivery: Oversee the model development lifecycle from discovery to production across multiple major enterprise product lines.

• Innovation Vision: Drive the strategic roadmap for the next generation of AI-powered compliance solutions, including proactive decision support tools.

• Cross-Functional Collaboration: Work closely with leaders in product, engineering, UX, editorial, and marketing to align research efforts with business priorities.

• Stakeholder Engagement: Represent the team’s work in internal and external forums, including customer sessions and industry events.

• Portfolio Oversight: Manage R&D budgets, staffing allocation, and project prioritization for maximum strategic impact.

• Mentorship: Develop technical leaders and foster a growth-oriented, mission-driven team environment.

YOUR SKILLS AND EXPERIENCE

We are looking for a visionary AI leader who combines deep technical expertise with exceptional leadership and delivery skills:

• 10 or more years of hands-on experience developing and deploying commercial AI/NLP systems

• 5 or more years of experience managing and scaling high-performing research teams

• PhD (preferred) or Master’s degree in Computer Science, AI, NLP, or a related field

• Extensive experience with LLMs, including agentic architectures and retrieval-augmented generation (RAG)

• Proven success bringing ML-based features into production within complex enterprise environments

• Deep knowledge of AWS-based ML infrastructure and end-to-end MLOps practices

• Strong record of customer-focused delivery and collaboration with cross-functional stakeholders

• Track record of applied innovation; publication history in top venues such as ACL, EMNLP, NeurIPS, ICML, or ICLR is a strong plus

• Exceptional communication, stakeholder management, and strategic planning skills

THE BENEFITS

• Base salary of $220,000 to $260,000 plus performance bonus

• Drive enterprise AI innovation with real-world, global use cases

• Work from anywhere in the U.S.

• Comprehensive benefits including health, dental, vision, 401(k), generous PTO, and more

HOW TO APPLY

To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page.

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