ML DEPLOYMENT
TALENT SOLUTIONS
Our recruitment expertise is specifically tailored for Machine Learning Deployment jobs, recognizing the critical importance of these positions in the successful operationalization of machine learning models. We focus on sourcing professionals who are skilled in navigating the complexities of deploying ML models efficiently and effectively in production environments.
Leveraging our global presence, Harnham has access to a diverse and extensive machine learning and data talent pool, enabling us to find data candidates with the specific skill sets required for Machine learning Deployment jobs. Our local market insights across key regions ensure that we provide candidates who not only meet the technical qualifications but also align with your company’s cultural and operational dynamics.
WHY
HARNHAM?
Our deep-rooted experience in data recruitment positions us as the go-to authority in sourcing talent for ML Deployment roles, ensuring we connect you with candidates capable of transforming your machine learning initiatives into successful, scalable solutions.
We prioritize a deep understanding of your organization’s unique ML Deployment needs, enabling us to deliver precisely matched talent solutions, aligned with your specific technical and strategic requirements.
Harnham’s team of hundreds of recruitment specialists across key global locations brings unparalleled staffing solutions, tailored to the specific needs of your organization, irrespective of the industry.
OUR
SERVICES
- Permanent Recruitment: We identify long-term talent for your ML Deployment team, focusing on professionals who can integrate and grow with your organizational goals.
- Contract Recruitment: Our contract recruitment services provide the agility to meet your immediate ML Deployment needs with highly skilled temporary professionals.
- Customized Talent Consulting: We offer bespoke talent consulting services, including talent mapping, market analysis, and strategic workforce planning, to optimize your recruitment strategy and build a robust ML Deployment team.
Contact us today to discover how our specialized services can help you build a high-performing ML Deployment team and drive your organization's success in the machine learning domain.
JOBS
LATEST mL deployment
JOBS
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Senior Machine Learning Scientist
San Francisco
$180000 - $200000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
Senior Machine Learning Scientist
Location: SF Bay Area – Hybrid (3 days/week onsite)
Salary: $180-200k base + Equity
A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Senior 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
- 3+ 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
Principal AI Engineer
Amsterdam
€60000 - €100000
+ Data Science & AI
PermanentNetherlands
To Apply for this Job Click Here
Job Opportunity: Principal AI Engineer | Remote or Hybrid
Location: Remote or Hybrid (HQ in [City])
Role Type: Full-Time
Seniority: Principal / Expert
Start Date: ASAP
About the Company
The company is expanding its AI capabilities to build innovative, intelligent systems that power next-generation products and experiences. With an ambitious roadmap centered on generative AI, advanced machine learning, and large-scale automation, they are seeking a highly experienced Principal AI Engineer to lead technical strategy, guide system architecture, and drive innovation across the organization.
This is a pivotal role that will shape the long-term AI direction, influence key engineering decisions, and deliver solutions that have significant impact on the company’s technical evolution.
The Role
The Principal AI Engineer will act as a hands-on technical leader, responsible for designing, developing, and scaling advanced AI systems. The role involves high-level architectural thinking, applied research, and deep technical execution, including oversight of model development, evaluation, deployment, and optimization.
The successful candidate will collaborate with engineering, data, and product stakeholders to define the AI vision while also mentoring teams and setting engineering standards that enable excellence and innovation.
Key Responsibilities
- Lead the design and development of complex AI systems, including generative AI models, LLM-powered applications, and large-scale machine learning infrastructures.
- Define and drive the company’s AI technical strategy, ensuring alignment with business goals.
- Oversee model experimentation, fine-tuning, evaluation, and deployment into production environments.
- Set best practices for ML engineering, model lifecycle management, security, and governance.
- Provide expert guidance on architecture decisions across data, ML, and application layers.
- Collaborate with cross-functional teams to identify high-impact AI opportunities and translate them into technical solutions.
- Mentor and support engineering teams, elevating technical capabilities across the organization.
- Stay ahead of industry developments, research breakthroughs, and emerging AI frameworks.
Required Experience
- 7+ years of experience in AI/ML engineering, with a strong track record of delivering production-grade AI systems.
- Deep expertise in Python and modern ML frameworks (PyTorch, TensorFlow, JAX).
- Extensive hands-on experience working with large language models, generative AI architectures, and related tooling.
- Strong knowledge of model serving, orchestration, distributed training, and scalable inference systems.
- Experience architecting and deploying AI solutions on cloud platforms (AWS/GCP/Azure).
- Proven ability to lead complex AI initiatives, influence technical direction, and guide multidisciplinary teams.
- Strong understanding of data engineering, MLOps, model governance, and ML lifecycle best practices.
- Ability to thrive in a fast-paced environment and navigate ambiguous, greenfield challenges.
What the Company Offers
- A strategic role with significant influence over the AI roadmap and technical foundations.
- Competitive salary, equity, and comprehensive benefits.
- Flexible remote or hybrid working environment.
- Opportunities to work with state-of-the-art AI technologies and contribute to groundbreaking products.
- A culture that values innovation, autonomy, and continuous learning.
To Apply for this Job Click Here
Senior Machine Learning Engineer – MLOps
New York
$190000 - $210000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior Machine Learning Engineer – MLOps
Series A Adtech
REMOTE
$190,000-210,000 base salary + equity
THE COMPANY
Harnham is partnering with a unicorn AI adtech that builds AI platforms which enhance performance by delivering real-time relevance at critical points in the customer journey. Using intelligent systems and a global digital commerce framework, the platform powers high-volume interactions between millions of users and major brands. Following a significant valuation increase in early 2025, they are expanding rapidly across international markets, particularly in AI. The AI engineering team builds scalable, data-driven solutions that personalize user experiences and equip marketers with actionable insights, all while working with large-scale infrastructure and diverse technologies.
THE ROLE
- You will be responsible for machine learning model deployment and scalability for the company’s AI platform
- You will report directly to senior leadership and work closely on technical direction
- Own AI infrastructure and quickly build into production, particularly focusing on novel AI and LLM applications
- You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning workflow operations and distributed systems
- Own CI/CD pipelines for MLOps / LLMOps
- You will play an integral role of building out the AI team and scaling out its product
- Act as a thought leader role for AI across the business
YOUR SKILLS AND EXPERIENCE
The successful Senior Machine Learning Engineer – MLOps will likely have the following skills and experience:
- 5+ years of commercial experience preferred with a focus on deploying and scaling machine learning and LLM models
- Experience working in a scaling startup is highly preferred (having seen multiple funding rounds ideally)
- Expertise in Python (TensorFlow, PyTorch) for production-grade work
- Commercial experience building novel AI platforms with large datasets
- History of working with and managing real-time AI applications in production settings
- Fluency with low-latency distributed systems is preferred
- Cloud experience in AWS, Azure or GCP
- DevOps experience with CI/CD pipelines required; Databricks and GitHub Actions preferred
- History of working on models from concept to production / end-to-end / 0-1
- Experience in settings wearing multiple hats
- Domain experience in adtech or similar a plus
- History of partnering with non-technical stakeholders required
- Experience owning projects directly preferred
- BS or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar
THE BENEFITS
A competitive base salary of $190,000-210,000 + benefits + equity
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
Machine Learning | AI | Artificial Intelligence | Technology | MLOps | LLMOps | Adtech | Advertising | Unicorn | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Distributed Systems | Low Latency | Real-time | Scale | Scalability | Infrastructure | Architecture | CI/CD | Continuous Integration | Continuous Deployment | Real Time Bidding | Auction | Recommendation Engine | Recommender System | Personalization | Bespoke | Target Audience
To Apply for this Job Click Here
ML Engineer
Chester
£70000 - £80000
+ Data Science & AI
PermanentChester, Cheshire
To Apply for this Job Click Here
ML ENGINEER
UP TO £80,000 + BENEFITS
HYBRID – CHESTER
If you’re an ML or AI Engineer with a strong data science foundation who enjoys turning models into reliable, production-grade systems, this could be a standout opportunity. You’ll be joining a growing organisation at a key moment in its AI journey, with real ownership and influence from day one.
THE COMPANY:
I’m working with a fast-growing business that’s investing heavily in data, AI, and modern cloud platforms to drive smarter commercial decisions and build customer-facing AI products.
With a strong product portfolio and a collaborative, fast-paced culture, the company offers a rare chance to shape core ML capability from the ground up, supported by experienced technical leadership and clear executive backing.
THE ROLE:
This is the first dedicated ML / AI Engineering hire, sitting at the intersection of Data Science, Engineering, and Product. The role exists to ensure machine learning models are deployable, monitored, retrained, and production-ready as AI initiatives scale across the business.
Key responsibilities include:
- Operationalising ML models, including deployment, monitoring, retraining, and drift detection
- Acting as the bridge between Data Science and Engineering to productionise models
- Supporting a broad range of AI and ML initiatives, including:
- Revenue management and pricing optimisation
- Customer-facing AI products using LLMs and AI agents
- Churn prediction and revenue forecasting
- Defining and implementing ML best practices, CI/CD pipelines, and coding standards
- Improving reliability, scalability, and observability of production ML systems
YOUR SKILLS AND EXPERIENCE:
A successful ML / AI Engineer will bring:
- Hands-on experience deploying and maintaining ML models in production
- Experience with CI/CD in a production environment
- Cloud experience (Azure preferred; Microsoft Fabric exposure is a plus)
- Ability to communicate effectively with Data Scientists and Product teams
- Experience with customer, marketing, or personalisation data is beneficial
THE BENEFITS:
You will receive a salary of up to £80,000 depending on experience, along with a comprehensive benefits package.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
Senior MLOps Engineer
Chicago
$160000 - $180000
+ Data Science & AI
PermanentChicago, Illinois
To Apply for this Job Click Here
Senior MLOps Engineer
Chicago, IL
$160,000-180,000 base salary + bonus
THE COMPANY
Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI applications. The AI engineering team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.
THE ROLE
- You will be responsible for machine learning model deployment and scalability for the company’s agentic AI product
- You will report directly to senior leadership and work closely on technical direction
- Own AI infrastructure and quickly build into production, particularly focusing on novel AI and LLM applications
- You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning workflow operations and distributed systems
- Own CI/CD pipelines for MLOps / LLMOps
- You will play an integral role of building out the AI team and scaling out its product
- Act as a thought leader role for AI across the business
YOUR SKILLS AND EXPERIENCE
The successful Senior MLOps Engineer will likely have the following skills and experience:
- 5+ years of commercial experience preferred with a focus on building and deploying machine learning and LLM models, ideally with voice or chatbot systems
- Experience working in a scaling startup is highly preferred
- Expertise in Python (TensorFlow, PyTorch) for production-grade work
- Commercial experience building novel AI platforms with large datasets
- History of working with and managing real-time AI applications in production settings
- Cloud experience in AWS, Azure or GCP
- DevOps experience with CI/CD pipelines required
- History of working on models from concept to production / end-to-end / 0-1
- Software engineering background preferred
- Experience in settings wearing multiple hats
- Domain experience in heathcare, health-tech, med-tech or similar a plus
- History of partnering with non-technical stakeholders required
- Experience owning projects directly preferred
- BS or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar
THE BENEFITS
A competitive base salary of $160,000-180,000 + benefits + equity
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
Machine Learning | AI | Artificial Intelligence | Technology | MLOps | LLMOps | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | Infrastructure | Architecture | CI/CD | Continuous Integration | Continuous Deployment | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient
To Apply for this Job Click Here
Senior AI Scientist
London
£70000 - £80000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior AI Scientist
London – (Hybrid, 3 days a week in office)
Up to £80,000 + benefits
About the Role
Our client is a data-led organisation that has made significant investment in modern data and AI capabilities. With a mature data platform and strong executive buy-in, they are now focused on embedding advanced AI into both customer-facing products and internal decision-making tools.
As a Senior AI Scientist, you’ll play a key role in designing, building and deploying applied AI systems, with a particular focus on large language models (LLMs), retrieval-augmented generation (RAG), and conversational AI. This is a hands-on role operating across the full AI lifecycle, from experimentation and prototyping through to production deployment.
You’ll work closely with product, engineering and business teams to ensure AI solutions are practical, scalable and deliver clear commercial and customer impact.
Key Responsibilities
- Leading the development of AI proof-of-concepts and production systems, including LLM-powered assistants and chatbots.
- Designing and implementing RAG pipelines using vector search, embeddings and knowledge retrieval strategies.
- Fine-tuning, evaluating and deploying language models, with a focus on response quality, reliability and performance.
- Building agentic workflows and conversational flows for both customer-facing and internal use cases.
- Defining evaluation frameworks and quality metrics for AI-generated outputs.
- Collaborating with product and engineering teams to integrate AI solutions into live systems.
- Contributing to AI architecture decisions and mentoring more junior engineers and data scientists.
Your work will focus on delivering high-impact AI solutions, including:
- Customer and internal chatbots powered by LLMs.
- Intelligent knowledge retrieval and question-answering systems.
- Voice and chat-based automation to reduce cost-to-serve.
- AI tools that improve customer experience, retention and operational efficiency.
What We’re Looking For
- Strong experience building applied AI or machine learning systems in production environments.
- Advanced Python skills and hands-on experience with modern AI tooling (e.g. LLM frameworks, vector databases, orchestration libraries).
- Practical experience with LLMs, RAG architectures, embeddings and transformers.
- Experience deploying models using cloud infrastructure and working with microservices or APIs.
- Familiarity with MLOps concepts such as monitoring, evaluation and continuous improvement.
- Strong communication skills and the ability to translate business problems into AI-driven solutions.
- A collaborative mindset and experience working with both technical and non-technical stakeholders.
If this role looks of interest, apply below.
To Apply for this Job Click Here
Machine Learning Engineer
London
£75000 - £90000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Machine Learning Engineer
London – (3 days a week in office)
Up to £90,000
About the Role
Our client is a data-driven organisation focused on delivering measurable operational and financial improvements across a range of industries. They combine deep technical expertise with real-world delivery to design, build and deploy machine learning solutions that create tangible business impact.
As a Machine Learning Engineer, you’ll work closely with Data Scientists, Data Engineers and delivery teams to productionise models and build robust, scalable ML systems within client environments. This role is highly hands-on, with a strong focus on deployment, performance and reliability.
Key Responsibilities
- Translating data science models into scalable, production-ready machine learning solutions.
- Designing and building end-to-end ML pipelines, from data ingestion to deployment and monitoring.
- Collaborating with data engineers on data architecture, pipelines and feature stores.
- Working closely with data scientists to productionise models and improve performance.
- Deploying, monitoring and maintaining machine learning models in live environments.
- Implementing testing, validation and monitoring frameworks to ensure model reliability and impact.
Your work will focus on delivering high-value ML solutions, including:
- Productionising optimisation and predictive models at scale.
- Building systems to anticipate and prevent operational downtime.
- Deploying churn and customer behaviour models into live decision-making systems.
- Enabling next-best-action and recommendation engines for commercial teams.
- Supporting geospatial and advanced analytical models with robust ML infrastructure.
What We’re Looking For
- 2+ years’ experience building and deploying production machine learning systems.
- A strong academic background (Bachelor’s degree 2:1 or above in a quantitative subject).
- Strong Python skills and experience with ML frameworks (e.g. scikit-learn, TensorFlow, PyTorch).
- Experience with model deployment, monitoring and ML pipelines (e.g. CI/CD, MLOps concepts).
- A collaborative mindset with strong communication skills and experience working in cross-functional teams.
If this role looks of interest, apply below.
To Apply for this Job Click Here
ML Ops Engineer
Amsterdam
€60000 - €65000
+ Data Science & AI
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
Job Opportunity: MLOps Engineer (Full-Lifecycle) | Early-Stage Startup
Location: Remote or Hybrid (HQ in [City])
Role Type: Full-Time
Start Date: ASAP
About the Company
The company is a small, fast-moving startup building [short description of product/mission]. With a lean, collaborative team focused on delivering real value through AI, they are seeking an experienced MLOps Engineer to own and optimize their end-to-end machine learning pipeline as they scale.
The Role
As the company’s first dedicated MLOps hire, the successful candidate will be responsible for establishing and maintaining the full MLOps lifecycle-from data ingestion and experimentation to deployment, monitoring, and continuous optimization. They will work closely with ML engineers and the product team to ensure models move into production smoothly, reliably, and efficiently.
Responsibilities
- Designing, building, and maintaining scalable ML pipelines (training, validation, deployment).
- Developing CI/CD workflows for ML models and data pipelines.
- Implementing model and data versioning, lineage tracking, and reproducibility best practices.
- Managing infrastructure for training and inference (cloud, containers, orchestration).
- Building monitoring systems for data drift, model performance, and operational reliability.
- Optimizing cost, performance, and automation across the ML lifecycle.
- Collaborating with ML engineers to transition prototypes into production-ready systems.
- Promoting engineering excellence, documentation, and observability.
Qualifications
- 3+ years of industry experience in MLOps, ML Engineering, or DevOps for ML systems.
- Proven experience managing the full ML lifecycle in production environments.
- Strong experience with cloud platforms (AWS/GCP/Azure) and infrastructure-as-code tools (Terraform, CloudFormation).
- Hands-on expertise with containerization and orchestration (Docker, Kubernetes).
- Familiarity with ML pipeline tools (Kubeflow, Airflow, MLflow, Vertex AI, SageMaker, etc.).
- Strong programming skills in Python and experience with CI/CD tools (GitHub Actions, GitLab CI, etc.).
- Understanding of monitoring, tracing, alerting, and model observability tools.
- A startup mindset: autonomous, resourceful, and comfortable building systems from scratch.
What the Company Offers
- High ownership and the opportunity to shape the ML infrastructure from the ground up.
- A collaborative team culture that values creativity, speed, and experimentation.
- Competitive salary + equity package.
- Flexible work environment.
- A chance to have significant impact on a product used by real customers.
To Apply for this Job Click Here
Machine Learning Engineer
€80000 - €81000
+ Data Science & AI
PermanentNetherlands
To Apply for this Job Click Here
Machine Learning Engineer (Mid-Level) – Remote
Gaming Start-Up | Full-Time | Anywhere
Are you excited by the intersection of AI and gaming? Do you want to help shape the future of interactive entertainment at a fast-moving start-up? We’re looking for a Mid-Level Machine Learning Engineer to join our fully remote team and help us build intelligent, player-centric systems that power the next generation of gaming experiences.
About Them
They are an ambitious gaming start-up building innovative, data-driven gameplay systems. Our mission is to create games that feel alive-powered by adaptive AI, real-time insights, and scalable cloud technologies. As a small and collaborative team, every voice matters and every engineer has a direct impact on the product.
What You’ll Do
As a Machine Learning Engineer, you will:
- Design, build, and deploy ML models for gameplay, personalization, prediction, and player behavior analysis
- Collaborate with game designers, backend engineers, and data teams to integrate ML into live game systems
- Develop scalable ML pipelines using Google Cloud Platform (GCP) services (Vertex AI, BigQuery, Cloud Run, etc.)
- Work with real-time and batch data to support analytics and in-game decision systems
- Maintain and improve MLOps workflows for training, evaluation, deployment, and monitoring
- Contribute to a culture of experimentation, rapid iteration, and creative problem-solving
️ What They’re Looking For
Required:
- 2-4+ years of experience in Machine Learning or Data Science engineering roles
- Strong programming skills in Python
- Hands-on experience with GCP (Vertex AI, BigQuery, Dataflow, Cloud Storage, etc.)
- Experience building and deploying ML models in production
- Familiarity with modern ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Understanding of data processing, pipelines, and MLOps best practices
- Ability to work independently in a remote environment and collaborate asynchronously
Nice to Have:
- Experience working in gaming or interactive media
- Knowledge of reinforcement learning, player modeling, or recommendation systems
- Experience with real-time systems or streaming data (e.g., Pub/Sub, Kafka)
- Passion for games and gameplay design#
Why You’ll Love Working With them
- Fully remote team – work from anywhere
- A chance to be an early team member in a rapidly growing gaming start-up
- High ownership, high impact, and opportunities to shape the direction of ML in our products
- Flexible hours, supportive culture, and a team that values creativity and innovation
- Competitive salary + equity package
To Apply for this Job Click Here
ML Engineer
Chester
£70000 - £80000
+ Data Science & AI
PermanentChester, Cheshire
To Apply for this Job Click Here
ML Engineer
Location: Chester (Hybrid – 2x week in office)
Salary: £70,000 – £80,000
About the Role
I’m working with an established company who are looking to bring an ML Engineer into their team. You will report into the Head of Platform Engineering and work closely with data scientists, analysts, engineers, and design managers in a fast-paced, high-impact environment.
What You’ll Be Doing
- Operationalising machine learning models and ensuring they are production-ready
- Supporting AI/ML initiatives focused on revenue management, including pricing and elasticity models
- Contributing to churn and revenue prediction use cases
- Working on conversational AI, including an in-house AI agent designed to support customers throughout their stay
- Collaborating closely with engineers, designers, and product stakeholders
- Helping establish best practices for CI/CD, model deployment, and ML operations across the organisation
- Supporting a move towards a product-aligned, hub-based operating model
Technology Stack
- Cloud-first environment with Microsoft Azure Fabric
- Python, PyTorch
- SQL
- Apache Spark
- Azure Data Factory (ADF)
- Git
What We’re Looking For
- 3-4 years’ experience in AI/ML engineering, data engineering, or applied data science
- Strong Python skills with experience deploying ML models to production
- Solid software engineering fundamentals (clean code, version control, testing mindset)
- Experience working with customer or marketing data
- Exposure to ML Ops practices (full CI/CD expertise not required)
- Experience handling customer or personal data is a plus (e.g. chatbot or conversational AI projects)
- Strong communication skills and ability to work cross-functionally
- Master’s degree in Computer Science, Data Science, or a related field preferred
To Apply for this Job Click Here
Senior Data Scientist – Working with Behavioural Data and AI
Amsterdam
€60000 - €100000
+ Data Science & AI
PermanentNetherlands
To Apply for this Job Click Here
Senior Data Scientist – End-to-End Machine Learning & Behavioural Data
This organisation are seeking an experienced Senior Data Scientist to join their dynamic team. This role focuses on end-to-end productionising of machine learning models and leveraging behavioural data to drive actionable insights and innovative solutions.
The ideal candidate has a strong background in applied machine learning, including hands-on experience with Natural Language Processing (NLP), and is comfortable taking projects from concept through to production. They thrive in a collaborative environment, translating complex data into meaningful business outcomes and working closely with cross-functional teams to implement scalable solutions.
Key Responsibilities:
- Develop, deploy, and maintain end-to-end machine learning models, ensuring robust production performance.
- Analyse and derive insights from behavioural data to inform business decisions.
- Apply NLP techniques to extract value from text-based datasets.
- Collaborate with engineering and product teams to integrate models into live systems.
- Continuously monitor, evaluate, and optimise models to maintain accuracy, efficiency, and scalability.
Qualifications & Experience:
- Proven experience in end-to-end machine learning development and model deployment.
- Strong background in behavioural data analysis.
- Hands-on experience with NLP, including text preprocessing, embeddings, and relevant model architectures.
- Proficiency in Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Familiarity with cloud-based ML infrastructure and MLOps best practices.
- Excellent problem-solving skills and the ability to communicate complex findings to non-technical stakeholders.
To Apply for this Job Click Here
ML Engineer
Chester
£70000 - £80000
+ Data Science & AI
PermanentChester, Cheshire
To Apply for this Job Click Here
ML ENGINEER
UP TO £80,000 + BENEFITS
HYBRID – CHESTER
If you’re an ML or AI Engineer with a strong data science foundation who enjoys turning models into reliable, production-grade systems, this could be a standout opportunity. You’ll be joining a growing organisation at a key moment in its AI journey, with real ownership and influence from day one.
THE COMPANY:
I’m working with a fast-growing business that’s investing heavily in data, AI, and modern cloud platforms to drive smarter commercial decisions and build customer-facing AI products.
With a strong product portfolio and a collaborative, fast-paced culture, the company offers a rare chance to shape core ML capability from the ground up, supported by experienced technical leadership and clear executive backing.
THE ROLE:
This is the first dedicated ML / AI Engineering hire, sitting at the intersection of Data Science, Engineering, and Product. The role exists to ensure machine learning models are deployable, monitored, retrained, and production-ready as AI initiatives scale across the business.
Key responsibilities include:
- Operationalising ML models, including deployment, monitoring, retraining, and drift detection
- Acting as the bridge between Data Science and Engineering to productionise models
- Supporting a broad range of AI and ML initiatives, including:
- Revenue management and pricing optimisation
- Customer-facing AI products using LLMs and AI agents
- Churn prediction and revenue forecasting
- Defining and implementing ML best practices, CI/CD pipelines, and coding standards
- Improving reliability, scalability, and observability of production ML systems
YOUR SKILLS AND EXPERIENCE:
A successful ML / AI Engineer will bring:
- Hands-on experience deploying and maintaining ML models in production
- Experience with CI/CD in a production environment
- Cloud experience (Azure preferred; Microsoft Fabric exposure is a plus)
- Ability to communicate effectively with Data Scientists and Product teams
- Experience with customer, marketing, or personalisation data is beneficial
THE BENEFITS:
You will receive a salary of up to £80,000 depending on experience, along with a comprehensive benefits package.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
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Testimonials
Client and
candidate
testimonials
A trusted partner of professionals
across the globe.
We understand the challenges our
customers face and offer the
recruitment solutions needed to drive
business success through Data &
AI.
Candidate – Chief Data Officer
It was a real treat to work with Harnham. My recruiter consistently went above and beyond to ensure that I navigated through the recruitment process as smooth as possible. I had been in contact with other professional at Harnham in the past and I can attest that the level of professionalism is always top-notch.
Candidate /
Chief Data Officer
Candidate – Market Research Analyst
Thanks to Harnham, I am now in a role that suits me. My recruiter was able to quickly identify the skills I had to offer and match me up with his client. It was a win-win for everyone. I was given great advice throughout the process, and I also appreciated the follow-ups that I received.
Candidate /
Market Research Analyst
Client – Data Direction – Broadcast Media
I have worked with Harnham for over 2 years now as our main Analytics Recruiter partner and I am very pleased with the overall service and the people we have hired via Harnham. Harnham’s team is very good at understanding our recruitment needs and always come back with relevant and well scanned CVs, which saves me precious time.
Client /
Data Direction – Broadcast Media
Candidate – Senior Data Engineer
I've been a Senior Data Engineer for about 4-5 years and Harnham is one of the best recruitment agencies I worked with. There was a time when my offer fell through and the recruiter I was working with at Harnham jumped in to the rescue and scheduled interviews for me within a couple of days. Really good agency and some great people.
Candidate /
Senior Data Engineer
Client – Director of Customer Data Science – Apparel
The team at Harnham have been outstanding in helping our company build a market-leading data science team. Harnham’s communication is great, and the recruiter’s take a consultative approach that’s really focused on provided value for both their clients and their candidates. They provide strong candidates that help us fill our roles with high achievers who are also a great fit for our culture.
Client /
Director of Customer Data Science – Apparel
Client – Director of People Operations
We’ve been collaborating with Harnham to recruit some key positions for our company, and they have been incredible partners. They team has been great and efficient. They understood our needs perfectly and provided us very talented candidates. We'll keep collaborating with them in the future. Thank you for your excellent job!
Client /
Director of People Operations
Candidate – Digital Media and Analytics
I've recently got a short-term contract role through Harnham, and things couldn't have gone better! My recruiter was incredibly helpful throughout the entire process. They also provided incredible admin support so that I could focus on the actual job in hand, rather than having to spend too much time dealing with these matters.
Candidate /
Digital Media and Analytics
Candidate – Data Analyst
I’ve had a great experience with Harnham. The recruiter provided great advice and ensured that I understood everything, and even followed up with me after I started my new role to see how I was settling in. I would recommend Harnham as a great recruitment company for anyone looking for a role in data and analytics.
