ML OPS
TALENT SOLUTIONS
Our MLOP's recruitment services are specifically tailored to the field of Machine Learning Operations. We understand the critical role ML Ops professionals play in bridging the gap between machine learning development and operational deployment, ensuring scalable, efficient, and reliable machine learning systems.
We specialize in MLOPS Jobs, offering data talent solutions for all levels of seniority within ML Ops, from hands-on engineers to strategic leaders. Our comprehensive approach ensures that your team not only has the technical expertise to manage ML systems but also the vision to achieve operational excellence and innovation.
WHY
HARNHAM?
Our reputation as a global leader in data recruitment is built on a foundation of hundreds of dedicated specialists who operate across the United States, Europe, and the United Kingdom. This extensive network empowers us to offer unparalleled recruitment solutions, matching our clients with the ideal Machine Learning Engineering and MLOPs Jobs talent.
We recognize the unique nature of each organization's Machine Learning needs. Our recruitment strategies are, therefore, highly customized, focusing on understanding and aligning with your specific business objectives and technical requirements.
OUR
SERVICES
- Permanent and Contract Recruitment: We provide both permanent and contract recruitment solutions, ensuring flexibility to meet the evolving needs of your Machine Learning projects and initiatives, including MLOPs jobs.
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- Executive Search: Our executive search service is designed to identify and secure leaders in the Machine Learning field who can propel your business strategies and technological innovations forward.
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- Industry-Specific Expertise: We operate across all industries, offering specialized recruitment solutions that understand and cater to the unique challenges and opportunities within your sector.
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Contact us today to learn how our bespoke talent solutions can enhance your organization's Machine Learning capabilities.
JOBS
LATEST ML OPS
JOBS
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Senior Software Engineer, ML
USA
$170000 - $215000
+ Data Engineering
PermanentUSA
To Apply for this Job Click Here
Senior Software Engineer, Machine Learning
$170,000-$215,000 + bonus & benefits
Remote – U.S., UK, or Canada
About the Company
We’re a remote-first product and engineering organization building AI-powered tools that help teams work better together, explore ideas, and make more informed decisions. Our focus is on augmenting human creativity and collaboration, not replacing it, by embedding intelligent systems directly into everyday workflows.
We operate at the intersection of applied machine learning, thoughtful product design, and scalable systems, with a strong emphasis on shipping production AI that delivers real value. The team is globally distributed, highly collaborative, and driven by ownership and impact.
About the Role
We’re hiring a Senior Machine Learning Engineer to design and ship production AI systems that support collaboration and decision-making at scale. This role blends applied ML, product development, and scalable infrastructure, with meaningful ownership over user-facing features.
What You’ll Do
-
Build and deploy generative AI and RAG systems used in real workflows
-
Develop data pipelines for training, evaluation, and continuous improvement
-
Create human-in-the-loop processes to improve model quality
-
Partner with product and engineering on user-facing AI features
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Collaborate on training, inference, monitoring, and deployment
What We’re Looking For
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5+ years building and shipping production ML systems
-
Strong Python with PyTorch or TensorFlow
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Experience with LLMs, embeddings, retrieval, or ranking systems
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Comfortable owning systems end-to-end and mentoring others
Nice to Have
-
MLOps or ML infrastructure experience
-
Experience working on creative or collaboration-focused ML products
To Apply for this Job Click Here
Data Scientist
€60000 - €61000
+ Data Science & AI
PermanentNederland
To Apply for this Job Click Here
Data Scientist
Harnham The Randstad, Netherlands (On-site)
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Apply
Job Title: Data Scientist – Model Production
Location: Eindhoven
Type: Full-Time
About the Company:
A leading media and marketing organization are seeking a Data Scientist to join its internal team. The company is focused on leveraging data and AI to drive scalable, business-critical solutions and deliver measurable outcomes across multiple industries.
Role Overview:
The Data Scientist will focus on productionizing machine learning models, transforming prototypes into robust, scalable systems that support key business operations. The role is central to embedding AI and data-driven insights into the company’s processes, working closely with internal teams to maximize impact.
Key Responsibilities:
- Collaborate with internal stakeholders to identify opportunities for machine learning applications.
- Develop, deploy, and maintain machine learning models in production environments.
- Optimize and monitor models to ensure performance, scalability, and reliability.
- Implement best practices in MLOps, version control, and model lifecycle management.
- Integrate models into operational systems alongside engineering and analytics teams.
- Document workflows, code, and methodologies to ensure maintainability and reproducibility.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
- Proven experience in deploying machine learning models in production.
- Proficiency in Python or a similar language, and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Familiarity with MLOps tools and practices, including Docker, Kubernetes, and CI/CD pipelines.
- Strong understanding of data pipelines, ETL processes, and cloud platforms (AWS, GCP, Azure).
- Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.
Preferred:
- Experience working with large-scale media or marketing datasets.
- Knowledge of advanced ML techniques such as recommendation systems, NLP, or predictive analytics.
Why Join:
- Opportunity to work on high-impact projects that directly influence business strategy.
- Exposure to cutting-edge AI and data-driven solutions within a global organization.
- Collaborative, inclusive, and innovative culture that encourages continuous learning.
Application:
Interested candidates are invited to submit a CV and brief cover letter highlighting experience with production ML systems to [email/contact].
To Apply for this Job Click Here
Senior Machine Learning Engineer – Applied ML Platform – Fully Remote
$180000 - $200000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Senior Machine Learning Engineer – Applied ML Platform
REMOTE Across the US
$180,000 to $200,000 + Equity
We’re working with a scaling AI‑driven technology company building high‑impact machine learning systems that operate at serious scale. They’re looking for a Senior Machine Learning Engineer to own core ML infrastructure and production models that directly influence commercial outcomes.
This is a role for someone who enjoys production ML, not experimentation for experimentation’s sake.
What you’ll be doing
- Designing, training, and deploying large‑scale ML models used in live decision‑making systems
- Building and optimising distributed training pipelines for neural networks
- Owning the full ML lifecycle: feature engineering, training, evaluation, batch inference, and monitoring
- Working closely with product and engineering leaders to align models with real business KPIs
- Improving ML reliability, observability, and reproducibility across production environments
What they’re looking for
- Strong experience delivering production ML systems end‑to‑end
- Deep hands‑on expertise with Python and modern ML frameworks (e.g. PyTorch)
- Background working with large datasets, distributed compute, and MLOps tooling
- Comfortable operating in fast‑moving, product‑led environments
- Experience in adtech, marketplaces, or data‑intensive platforms is a plus, not a requirement
Why this role
- ML that directly impacts revenue and product performance
- Strong existing foundations, you’re scaling and improving, not firefighting
- High ownership and influence over technical direction
- Opportunity to work on genuinely complex, real‑world ML problems
HOW TO APPLY
If you’re passionate about building scalable ML systems and want to work in a dynamic, innovative environment, apply today to learn more.
To Apply for this Job Click Here
Senior Machine Learning Engineer (Fully Remote)
$200000 - $220000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior Machine Learning Engineer
Location: Remote (with optional hybrid New York)
Salary: Salary up to $220,000
THE COMPANY
Our client is a fast-growing, profitable technology business operating at the cutting edge of AI-driven decisioning. They partner with global brands to deliver advanced machine learning solutions that optimize real-time strategies across digital platforms.
THE ROLE
As a Senior Machine Learning Engineer, you will play a key role in building scalable ML infrastructure and deploying production-grade models that directly impact business outcomes. This is an opportunity to work on distributed systems, cutting-edge neural network architectures, and MLOps best practices in a high-performance environment.
RESPONSIBILITIES
- You will architect and train neural network models for optimization and audience modeling using PyTorch and distributed training frameworks.
- You will build multi-GPU training pipelines and implement hyperparameter tuning strategies.
- You will develop feature engineering workflows using PySpark and embedding techniques.
- You will own the ML lifecycle from training to batch inference, ensuring automation and reproducibility.
- You will implement monitoring and observability solutions to track model performance and system health.
- Collaborate with cross-functional teams to align ML initiatives with product strategy and KPIs.
REQUIREMENTS
- MSc or PhD in Computer Science, Machine Learning, or related field.
- Strong ML engineering with strong proficiency in PyTorch.
- Hands-on experience with Databricks.
- Expert-level Python and PySpark skills for large-scale data processing.
- Familiarity with cloud platforms (AWS) and data warehousing (Snowflake).
- Strong understanding of CI/CD workflows and best practices.
BENEFITS
- Competitive salary and bonus structure.
- Comprehensive health coverage.
- Generous PTO and company holidays.
- Flexible remote working options.
HOW TO APPLY
If you’re passionate about building scalable ML systems and want to work in a dynamic, innovative environment, apply today to learn more.
To Apply for this Job Click Here
Senior MLOps
New York
$200000 - $240000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior MLOps Engineer
Location: United States (NYC, Austin, San Francisco preferred)
Remote: Hybrid (2-3 days on-site in major hubs) or Full Remote (US-based
Salary: Competitive base salary + equity
Visa: No sponsorship
Company
High-growth Series B AI startup transforming one of the world’s largest and least digitized industries. The company builds AI-powered platforms and autonomous agents used by thousands of professionals in real-world operational environments. Backed by top-tier venture capital firms, the organization is entering a major scale-up phase, deploying production-grade AI systems across complex workflows and large enterprise customers.
The Role
- Design and manage infrastructure for distributed model training using modern cloud and orchestration tools.
- Deploy and operate machine learning models using Docker, Kubernetes, ECS, and scalable serving frameworks.
- Integrate ML workflows into CI/CD pipelines to support rapid experimentation and reliable deployment.
- Build and maintain robust data and ML pipelines using orchestration tools such as Prefect or Airflow.
- Implement experiment tracking, observability, and monitoring across the full ML lifecycle.
Desired Profile
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field.
- 5+ years of experience in MLOps or ML Platform Engineering, including large-scale production deployments.
- Strong expertise with AWS cloud infrastructure, Docker, Kubernetes, and modern MLOps tooling.
- Hands-on experience managing GPU/CPU workloads for Computer Vision, NLP, or LLM-based systems.
- Strong communication skills and ability to operate autonomously in a fast-paced startup environment.
To Apply for this Job Click Here
AI Scientist
New York
$200000 - $300000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
AI Scientist / Research Engineer (Applied Research)
Location: New York City
Remote: Hybrid (minimum 3 days on-site)
Salary: Top-of-market base salary + equity
Visa: No sponsorship
Company
AI-driven healthcare technology company building a next-generation platform to automate complex revenue. With access to real-world, high-stakes datasets, the company focuses on deploying cutting-edge machine learning research directly into production environments.
The Role
- Conduct applied machine learning research on large-scale, real-world healthcare data.
- Design and train advanced models focused on explainability, reinforcement learning, and long-context information retrieval.
- Move rapidly from research concepts to production-ready systems with measurable business impact.
- Design experiments, evaluate models, and contribute end-to-end code from prototype to deployment.
- Collaborate closely with MLOps, product, and engineering teams to operationalize research outcomes.
Desired Profile
- PhD in Computer Science, Machine Learning, Informatics, or a closely related field.
- 3+ years of industry or postdoctoral experience in applied ML research.
- Strong publication record at top-tier venues such as NeurIPS, ICML, EMNLP, MLHC, CHIL, or equivalent.
- Hands-on experience building novel architectures and pipelines using PyTorch, TensorFlow, or JAX.
- Background in one or more of the following: model interpretability, reinforcement learning, retrieval-augmented generation, or long-context retrieval.
To Apply for this Job Click Here
Staff Machine Learning Engineer
England
£900000 - £1000000
+ Data Science & AI
PermanentEngland
To Apply for this Job Click Here
Staff Machine Learning Engineer
Remote – UK or EU
Up to £100,000
Are you a senior ML engineer who loves solving complex problems, shaping technical strategy, and building production‑grade machine learning systems that actually get used? Do you thrive in an environment where you’re trusted to lead, innovate, and set the bar for engineering excellence?
If so, this role might be exactly what you’ve been looking for.
Why This Role?
This is a chance to own high‑impact ML initiatives end‑to‑end in a global AI and data‑driven organisation working at massive scale. You’ll architect sophisticated ML systems, guide technical direction, mentor engineers, and directly influence how advanced ML is leveraged across worldwide operations.
If you want autonomy, complex challenges, and the ability to make real technical decisions-not just write models someone else deploys-this is a place where you can do your best work.
What You’ll Be Doing
As a Staff Machine Learning Engineer, you will:
Lead major ML projects from concept to production
Define architecture, design scalable systems, and deliver end‑to‑end solutions that serve real users and real business needs.
Architect sophisticated ML systems
Design for performance, reliability, and scale across pipelines, models, and distributed data environments.
Mentor and elevate the engineering team
Support other ML engineers, offer guidance, review work, and drive best practices across the function.
Drive innovation
Explore emerging AI/ML techniques and recommend new technologies and approaches.
Shape responsible, ethical AI practices
Promote fairness, transparency, and best‑in‑class model governance.
Collaborate across a global organisation
Work with engineering, delivery, and business teams across multiple time zones, translating technical approaches into outcomes everyone understands.
What Success Looks Like
- You deliver ML systems that are scalable, maintainable, and impactful.
- You become a trusted technical leader and partner across teams.
- You elevate other engineers through coaching, reviews, and example.
- You influence architecture, standards, and the ML roadmap.
- You drive ethical, transparent, high‑quality AI development.
If you’re the kind of person who measures yourself by the quality and impact of what you build, you’ll feel at home here.
What You Bring
Technical Excellence
- Expert‑level Python (R or Java helpful but not essential).
- Deep understanding of classical ML, modern deep learning, and statistics.
- Experience building ML systems on large‑scale data (Hadoop, Spark, Kafka).
- Hands‑on experience with TensorFlow, PyTorch, or Keras.
- Strong system design instincts and a track record of delivering production ML.
- Experience with cloud platforms (AWS, Azure, or GCP) and MLOps practices.
- NLP experience is highly valued; Computer Vision is a plus.
Leadership & Influence
- Strong mentor and role model for other engineers.
- Excellent communicator with an ability to simplify complexity.
- Able to drive technical decisions and influence stakeholders.
- Passion for continuous learning and staying current with the field.
- Commitment to responsible and ethical AI design.
Experience
- 8+ years in Machine Learning Engineering or a closely related field.
- Proven track record delivering ML solutions end‑to‑end.
Working Environment
- Fully remote across the UK or EU.
- Work where and how you’re most productive.
- Highly collaborative, outcome‑driven culture.
- Global colleagues working across multiple time zones.
Additional Details
- No sponsorship available.
- Only open to residents of the UK or EU.
Apply below!
To Apply for this Job Click Here
Consulting Data Engineer – Scala Focus
$70 - $100
+ Data Engineering
ContractNew York
To Apply for this Job Click Here
Consulting Data Engineer (Scala focus)
Overview
We’re seeking an experienced Consulting Data Engineer to work directly with enterprise clients on modernizing data platforms and enabling advanced analytics and AI-driven use cases. This role is highly hands-on and client-facing, focused on building scalable data solutions that translate complex data into real business value.
You’ll play a key role in shaping data architectures, supporting cloud migrations, and helping teams unlock insights from large, distributed datasets. If you enjoy variety, technical depth, and working at the intersection of data and strategy, this role offers meaningful impact.
Responsibilities
-
Drive end-to-end delivery of data engineering initiatives across analytics, AI, and platform modernization efforts
-
Architect and build cloud-native data platforms designed for scale, performance, and reliability
-
Partner closely with client stakeholders and internal teams to align technical solutions with business objectives
-
Provide technical leadership and guidance on best practices for distributed data processing, migrations, and deployments
-
Contribute ideas, patterns, and feedback to continuously improve consulting approaches and data solutions
Qualifications
-
6+ years of experience in data engineering, analytics engineering, or cloud-based data solutions
-
Strong development skills in Scala, especially in recent roles
-
Proven experience with at least one major cloud provider (AWS, Azure, or GCP), with exposure to multi-cloud environments
-
Advanced knowledge of distributed data processing frameworks such as Apache Spark
-
Experience designing and deploying end-to-end data solutions, including CI/CD and MLOps workflows
-
Hands-on Databricks experience is required
-
Excellent communication skills with the ability to explain complex concepts to both technical and non-technical audiences
Engagement Details
-
Contract position (initial 6-month term, with strong extension potential)
-
40 hours per week
Why This Role
You’ll work alongside experienced data practitioners on initiatives that influence how organizations use data and AI. This is an opportunity to continuously learn, solve meaningful problems, and deliver solutions that have real-world impact.
Note: We are not engaging third-party staffing agencies for this position.
To Apply for this Job Click Here
Data Scientist – Computer Vision
Amsterdam
€60000 - €62000
+ Data Science & AI
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
Data Scientist – Computer Vision
Location: Remote / Hybrid / On-site (flexible)
Type: Full-time
Company: Small AI Startup
About the Company
The company is a small, fast-growing AI startup building practical solutions to real-world problems using artificial intelligence and computer vision. The team works closely across disciplines, values experimentation, and focuses on delivering models that perform reliably outside of controlled environments.
The Role
The company is seeking a Data Scientist with a focus on computer vision to work on end-to-end AI solutions. This role involves taking ownership of computer vision problems from early exploration through to production deployment.
The successful candidate will play a key role in shaping both the product and the technical direction of the company, working in a hands-on, fast-paced startup environment.
Key Responsibilities
- Develop, train, and evaluate computer vision models (e.g. image and video classification, object detection, segmentation)
- Work with complex, real-world visual datasets, including data preparation and augmentation
- Experiment with and adapt modern deep learning architectures
- Collaborate closely with engineers and founders to integrate models into production systems
- Iterate quickly based on product requirements and real-world feedback
- Contribute to technical decision-making and best practices within the team
Required Skills and Experience
- Experience in data science, machine learning, or a related role with exposure to computer vision
- Strong programming skills in Python
- Hands-on experience with machine learning and computer vision frameworks (e.g. PyTorch, TensorFlow, OpenCV)
- Solid understanding of machine learning fundamentals
- Ability to work independently in an environment with evolving requirements
- Strong communication skills and the ability to explain technical concepts clearly
Desirable Experience
- Experience deploying machine learning models into production
- Familiarity with cloud platforms, containerisation, or MLOps tooling
- Experience in a startup or small team environment
- Background in video analytics, edge AI, or multi-modal models
- Evidence of practical computer vision work (projects, open-source, publications)
What the Company Offers
- A high-impact role with real ownership and influence
- Exposure to the full lifecycle of AI product development
- A collaborative, low-bureaucracy environment
- Competitive compensation and flexible working arrangements
- Strong opportunities for learning and professional growth
To Apply for this Job Click Here
AI Engineer
London
£100000 - £101000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
AI Engineer
Up to £100,000 + benefits
Central London (Hybrid – 2-3 days per week in office)
You will be joining this company at an exciting time, as the company is growing it’s AI capabilities from the ground up. You’ll work on impactful AI solutions used across hundreds of locations and by thousands of customers, with full ownership of projects throughout the full process. This will be a hands-on role and requires someone who wants to make a real difference in consumer lives with AI.
The Company
This well-known organisation is undergoing a large digital transformation, investing heavily in AI to improve both internal operations and customer experience. With a newly formed digital leadership team, AI sits at the heart of the company’s long-term strategy, giving you the opportunity to deliver solutions that make a measurable impact at scale.
The Role
As an AI Engineer, you will design, build, and deploy end-to-end AI solutions. You’ll work closely with senior stakeholders, owning projects from discovery through to delivery, and helping translate complex AI concepts into clear, actionable outcomes.
Specifically, you can expect to be involved in the following:
- Build AI products end‑to‑end, from prototypes to production.
- Work with teams across the business to define problems, test ideas, and measure impact.
- Prepare data and develop models using both classical ML and generative AI.
- Integrate AI into digital products through services, APIs, and safe, compliant guardrails.
- Manage model life cycle and MLOps while sharing best practices and enabling colleagues.
Skills and Experience
The successful AI Engineer will have the following skills and experience:
- Strong Python and SQL experience, ideally with Databricks
- Experience with ML and LLM tools (e.g., scikit learn, XGBoost, PyTorch, TensorFlow, RAG, APIs)
- Comfortable with data engineering basics and MLOps practices
- Experience working with cloud platforms such as Azure, AWS, or GCP
Benefits
The successful Senior AI Engineer will receive the following benefits:
- Salary up to £100,000
- Performance-related bonus
- Hybrid working model
- Comprehensive benefits package including healthcare and pension
How To Apply
Please register your interest by sending your resume to Madison Barlow via the Apply link on this page.
To Apply for this Job Click Here
Senior Software Engineer, Machine Learning
$170000 - $215000
+ Data Engineering
PermanentUSA
To Apply for this Job Click Here
Senior Software Engineer, Machine Learning
$170,000-$215,000 + bonus & benefits
Remote – U.S., UK, or Canada
About the Company
- We’re a remote-first product and engineering organization building AI-powered tools that fundamentally improve how people think together, explore ideas, and make decisions. Our focus is on augmenting human creativity and collaboration – not replacing it – by embedding intelligent systems directly into real workflows used by teams every day.
- We operate at the intersection of applied machine learning, thoughtful product design, and scalable systems, with a strong emphasis on shipping production AI that delivers real value. The team is globally distributed, highly collaborative, and driven by curiosity, ownership, and impact.
About the Role
- We’re hiring a Senior Machine Learning Engineer to build intelligent systems that power creative thinking, collaboration, and decision-making at scale.
- This role sits at the intersection of applied ML, product innovation, and scalable infrastructure. You’ll design and ship production ML systems – from retrieval-augmented generation to generative features – working closely with product, design, and engineering in a high-ownership environment.
What You’ll Do
- Design, build, and productionize ML models for generative AI, fine-tuning, and RAG
- Build scalable data pipelines for training, evaluation, and continuous improvement
- Develop annotation and human-in-the-loop workflows to improve model quality
- Partner with product engineers to deliver impactful, user-facing AI features
- Collaborate with infrastructure teams on training, inference, monitoring, and deployment
- Explore new ideas and help shape the long-term AI vision
What You Bring
- 5+ years of industry experience building and shipping deep learning systems
- Strong Python skills and experience with PyTorch or TensorFlow
- Familiarity with modern ML toolchains (hosted APIs, open-source frameworks, or custom stacks)
- Experience with embedding-based systems for retrieval, ranking, or multimodal models
- Comfort mentoring others and raising the technical bar
Nice to Have
- MLOps and ML infrastructure experience (observability, CI/CD, automation)
- Experience working on creative, design, or collaboration-focused ML products
Why Join
- Build AI that amplifies human creativity rather than replacing it
- Own production ML systems used by teams every day
- High autonomy and influence in a cross-functional environment
- Remote-first culture with strong engineering and product collaboration
- Competitive compensation and meaningful growth opportunities
To Apply for this Job Click Here
Staff Machine Learning Engineer
Manchester
£80000 - £100000
+ Data Science & AI
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
Staff Machine Learning Engineer
Salary – £100,000
Remote Europe
Looking for a role that gives you the opportunity to lead impactful machine learning projects while shaping the technical direction of a growing AI function? Excited by influencing strategy, mentoring engineers, and working fully remotely across Europe within a flexible, supportive environment?
THE COMPANY
This organisation is a forward‑thinking technology business building data‑driven products powered by advanced machine learning. They solve complex challenges across areas such as NLP, automation, and large‑scale model deployment. With a distributed technical team across Europe, they emphasise collaboration, experimentation, and strong engineering standards. You’ll join at a time of investment in AI, where your decisions directly shape the road-map and overall model capability.
THE ROLE
As a Staff Machine Learning Engineer you will…
- Lead the design, development, and deployment of end‑to‑end ML solutions.
- Architect scalable ML systems and pipelines that integrate seamlessly with cloud infrastructure.
- Mentor engineers, championing best practices across coding, experimentation, and MLOps.
- Collaborate with Product and Engineering teams to define priorities and model strategy.
- Apply deep learning, NLP or classical ML techniques to real‑world, high‑impact problems.
- Uphold responsible AI principles across model development and evaluation.
YOUR SKILLS & EXPERIENCE
The successful Staff Machine Learning Engineer will have:
- Strong Python skills and experience with ML frameworks such as TensorFlow or PyTorch.
- Deep knowledge of machine learning and modern deep learning techniques.
- Experience deploying ML models to production using cloud platforms (AWS, GCP or Azure).
- Familiarity with big‑data or distributed tools (Spark, Kafka or similar).
- A track record of leading complex ML projects and influencing technical decisions.
- Excellent communication skills across distributed, cross‑functional teams.
WHAT THEY OFFER
The successful Staff Machine Learning Engineer will receive:
- Fully remote work across Europe with flexible collaboration hours.
- Modern tooling, supportive leadership, and clear progression into senior technical influence.
- Exposure to diverse ML applications and the chance to shape long‑term AI strategy.
HOW TO APPLY
Please register your interest by applying via the link on this page with your CV.
To Apply for this Job Click Here
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Frequently Asked Questions: Machine Learning Operations
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A trusted partner of professionals
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We understand the challenges our
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recruitment solutions needed to drive
business success through Data &
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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
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
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 /
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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 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 – 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.
Candidate /
Data Analyst
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.
