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Role: Data Engineering Manager
Salary: £110,000 – £120,000 + 10% bonus + share options
Location: Central London – 1 day per week in the office (Hybrid)

Our client, a fast-growing product-led business in the insurance and financial services sector, is looking for a Data Engineering Manager/Head of Data Engineering to lead and scale their data team. The company leverages real-world behavioural and location data to power next-generation insights for underwriting, credit risk, and product innovation.

You’ll define the data platform strategy, modernise infrastructure, and enable large-scale data processing to support analytics and machine learning use cases. Leading a team of four Data Engineers, you’ll combine strategic vision with hands-on technical leadership in a fast-paced, high-growth environment.

The role will involve:

• Defining and delivering the data engineering roadmap
• Architecting and modernising data platforms for scale and reliability
• Building pipelines for large-scale behavioural and GPS data
• Driving best practices across CI/CD, infrastructure-as-code, and governance
• Mentoring and growing a high-performing team

What you’ll bring:

• 5+ years in data engineering, with 2+ years in a leadership role
• 60% hands-on technically/40% hands-off leadership and strategy
• Proven experience designing scalable data architectures and pipelines
• Strong Python, SQL, and experience with tools such as Airflow, dbt, and Spark
• Cloud expertise (AWS preferred), with Docker/Terraform
• A track record of delivering in fast-paced, scale-up environments

Nice to have:

• Experience with streaming pipelines, MLOps, or modern data architectures

This is a great opportunity to join a well-funded, high-growth business where you’ll shape data strategy, build modern infrastructure, and directly influence product innovation at scale.

Apply today or get in touch for more details.

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Senior Machine Learning Engineer
Dublin
€90,000-€150,000

This is a great opportunity to work for an all-in-one AI-first customer service platform – they’re heavily investing in their Machine Learning team so it’s a great time to join.

THE ROLE

As a Senior Machine Learning Engineer for the business you will:

• Working with the Machine Learning Scientists to deploy their models into production and
• Maintain models in production, testing them and making sure they run properly
• Run production ML infrastructure

SKILLS AND EXPERIENCE

• PhD / Master’s Degree in Computer Science, Maths, Engineering or AI etc
• Strong commercial experience as a Machine Learning Engineer/MLOps Engineer
• Understanding of Software Engineering principles
• Good communication skills
• Tech: Python, SQL, AWS

SALARY AND BENEFITS

• Basic salary €90,000-€150,000
• Dublin-based with hybrid working, x2 days per week in the office
• Up to 8% bonus depending on level and peformance
• Benefits package
• Relocation package

HOW TO APPLY

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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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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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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AI Engineer – Remote

We’re hiring an AI Engineer to help design and build cutting-edge AI solutions with a focus on document intelligence. You’ll play a key role in embedding GenAI across the business, starting with tools to support verification teams in extracting and reasoning over complex documents.

This is a hands-on engineering role with a strong focus on LLM-based systems and clean, production-grade Python development.

Responsibilities:

• Build rapid MVPs and evolve them into production-ready services.
• Develop and maintain shared Python libraries with strong architecture, testing, and CI/CD standards.
• Design and deploy LLM-based extraction, RAG, and agent workflows across large document sets.
• Work closely with both technical and non-technical stakeholders.

Required:

• Expert in Python coding
• Solid grounding in software engineering best practices: CI/CD, automated testing, observability.
• Experience with multi-modal AI (e.g. layout understanding, VLMs, agentic workflows).
• Comfortable prototyping quickly (Streamlit, Dash) to test ideas.
• Familiar with MLOps tools like MLflow and model monitoring.
• Strong communicator who can work across teams.

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Senior Research Engineer

London/Amsterdam (Hybrid/Remote) – Up to £150,000

Join a leading proprietary trading firm that provides liquidity in the securities market by using high frequency and quantitative trading strategies.

Responsibilities:

• Take the lead in building and rolling out our research framework to train models using different optimisation techniques
• Help connect those models to their platform so they can run smoothly in production
• Build tools and frameworks that their Quant Researchers and Traders use to test ideas and fine-tune data-driven trading strategies
• Collaborate closely with the business side to understand needs, gather feedback, and improve their research tools over time.

Requirements:

• PhD or MSc Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• 5+ years of hands-on experience in MLOps and Research Engineering
• An ability to work full-stack with data; some data engineering experience is a big plus
• Strong coding skills in Python
• Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.

How to Apply:

Please register your interest by sending your CV to Emily Burgess 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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Position: Research Engineer

Location: Amsterdam

Employment Type: Full-time

About Us

This organisation are a cutting-edge technology company in the finance and trading space, they are dedicated to solving complex challenges through research, experimentation, and innovation. Our work sits at the intersection of advanced algorithms, scalable engineering, and practical product impact. They turn ambitious ideas into real-world solutions-and we’re looking for a Research Engineer to join us on that journey.

The Role

As a Research Engineer, you’ll bridge the gap between exploratory research and production-grade engineering. You’ll prototype new concepts, develop proof-of-concepts, and help translate research breakthroughs into deployable, scalable solutions. You’ll work closely with scientists, engineers, and product teams to bring next-generation technology into the hands of our

customers.

Key Responsibilities

• Design and implement prototypes to validate research ideas.
• Collaborate with research scientists to explore new algorithms, architectures, and data-driven methods.
• Transform promising prototypes into production-ready systems in collaboration with engineering teams.
• Contribute to technical publications, patents, and internal knowledge sharing.
• Stay up to date with emerging research, tools, and technologies relevant to our domain.
• Work with ML Ops
• Also working with machine learning
• Testing new solutions
• Working with Python

Skills & Experience

• Strong programming skills in Python, C++, or similar languages.
• Experience with applied machine learning, optimisation, or algorithmic development.
• Solid understanding of data structures, distributed systems, or performance optimisation.
• Ability to work across the full development cycle-from concept to deployment.
• Strong problem-solving skills and a creative, experimental mindset.

Nice-to-Have

• Experience with GPU computing (CUDA, TensorRT) or cloud environments (AWS, Azure, GCP).
• Familiarity with MLOps tools, model deployment, or scaling ML in production.
• Track record of academic publications, patents, or open-source contributions.

What They Offer

• Competitive salary and benefits.
• Flexible, hybrid or remote-first working options.
• Opportunity to work on high-impact, forward-looking projects.
• Dedicated time for learning, exploration, and skill development.
• A collaborative environment where curiosity and innovation are valued.

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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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Staff Machine Learning Engineer

SF Bay Area: Hybrid (3 days onsite/wk)

$270,000 – $325,000 Base + Equity

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Engineer. Their marketplace connects buyers and sellers through personalized, trustworthy, and engaging experiences. With a strong engineering culture and a focus on applied AI, their team is building next-gen features to shape how users discover, connect, and transact.

Role

We’re looking for a Staff MLE to take technical leadership of a core AI initiative. This is a high-impact, hands-on role where you’ll architect and deploy large-scale ML systems, drive end-to-end model productionization, and influence engineering culture across squads. You’ll partner closely with data scientists and product teams to deliver real-time, intelligent features that delight users and scale globally.

Responsibilities

• Lead architecture and system design for large-scale ML systems (batch & real-time)
• Deploy experimentation-ready models into production with DS partners
• Build robust MLOps pipelines for serving, monitoring, and optimizing models
• Develop real-time inference systems, including vector database integrations
• Mentor junior engineers and foster a high-performance technical culture
• Tackle challenging problems in personalization, fraud prevention, search, and GenAI tools

Requirements

• Strong software engineering foundation with Python and backend/data systems
• Proven experience deploying ML models in production at scale
• Expertise in product recommendation and personalization
• Experience with distributed systems, performance tuning, and cost optimization
• Proficiency with PyTorch or TensorFlow, Airflow, Spark, Databricks, MLFlow
• Experience with real-time and batch pipelines, feature stores, and scalable inference
• Marketplace, e-commerce, or large-scale content platform experience
• Familiarity with GenAI/LLM ops, real-time personalization, or fraud detection

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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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Head of Data Engineering | High-Growth InsurTech

London – Hybrid (Once per week in office)

Up to £120,000 (Maybe £130,000) + Bonus + Share Options

Are you a data leader who loves building high-performing teams and scalable platforms? I’m hiring for a Head of Data Engineering at a rapidly growing InsurTech company that’s transforming how motor insurance works-making it simpler, fairer, and more personalised.

This is a hands-on leadership role where you’ll set the strategy, guide architecture, and empower a talented data engineering team to deliver world-class data systems in a fast-paced, product-led environment.

Why This Role Stands Out

• Competitive salary + company share options

• Hybrid working – 1 day a week in a central London office

• High-growth scale-up with a strong mission and serious funding

• Modern tech stack: Python, SQL, Snowflake, Apache Iceberg, AWS, Airflow, dbt, Spark

• Work cross-functionally with engineering, product, analytics, and data science leaders

What You’ll Be Doing

• Lead, mentor, and grow a high-impact team of data engineers

• Define and deliver the data engineering roadmap aligned with business goals

• Own the architecture, reliability, and scalability of the data platform end-to-end

• Drive best practices in ETL/ELT pipelines, data modelling, and real-time processing

• Partner with stakeholders to ensure data solutions are fit for purpose and future-proof

• Introduce and champion modern engineering practices (testing, CI/CD, IaC)

• Identify opportunities for tooling upgrades, re-architecture, or innovation

What You’ll Bring

• 2+ years leading data engineering teams as a Manager or Technical Lead

• 5+ years designing and operating scalable data platforms in fast-paced settings

• Deep expertise with data pipelines, warehouses, and architectures

• Hands-on experience with Python, SQL, and cloud-native tools (AWS preferred)

• Proven ability to influence stakeholders and translate technical ideas into business impact

• Passion for developing talent and fostering a culture of learning and ownership

Nice to Have

• Experience with Data Mesh or Data Lake architectures

• Familiarity with Kubernetes, Docker, and real-time streaming (Kafka, Kinesis)

• Exposure to ML engineering pipelines or MLOps

Interested?
If you’re ready to lead a team at the forefront of data innovation in a mission-driven scale-up, apply today or reach out for a confidential chat.

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