DATA & ai RECRUITMENT in Charlotte NC

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Senior Machine Learning Engineer
Dublin, hybrid one day per month
Up to 130k Euros plus bonus

If you enjoy tackling complex optimisation challenges and want to see your work shape commercial decision making at huge scale, this is a rare opportunity. You will design production‑grade optimisation systems that directly influence pricing and promotional strategy, all while working with modern ML infrastructure and highly capable engineering teams.

The Company

They are a global technology organisation operating across digital products and interactive entertainment. Their data teams are well established and work on high‑impact projects that influence product, commercial, and strategy decisions. They combine strong technical investment with a collaborative culture built around continuous improvement and measurable outcomes. You will be joining a growing optimisation function with clear leadership support.

The Role

* Build large scale optimisation models using Gurobi and OR Tools.
* Develop decision systems that incorporate ML forecasts and operate under complex business constraints.
* Improve solver performance, workflows, and runtime efficiency.
* Translate commercial requirements into scalable optimisation frameworks.
* Partner with ML engineers, product teams, and business stakeholders to deploy optimisation systems into production.
* Lead scenario modelling to support strategic planning.
* Provide technical leadership and mentor engineers within the optimisation space.

Your Skills and Experience

* Strong commercial experience designing and deploying optimisation systems using Gurobi or OR Tools.
* Expertise in mathematical optimisation or operations research supported by an advanced academic background.
* Strong programming capability in Python and Java.
* Experience building optimisation engines that integrate with ML model outputs.
* Ability to explain complex optimisation concepts to varied stakeholders.
* Comfortable solving optimisation challenges within dynamic and fast changing environments.

What They Offer

* Salary up to 130k Euros plus bonus.
* Hybrid working with one day a month onsite in Dublin.
* High visibility across commercial, ML, and engineering teams.
* Opportunities to lead, influence optimisation strategy, and shape long term decision systems.

How to Apply
To apply, please send your CV.

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Principal Machine Learning Engineer – ML Platform

REMOTE – US

$180,000-$230,000 + Equity

We’re partnered with a scaling AI‑driven technology company building large‑scale, production‑grade ML systems used in real‑time decisioning. They’re seeking a Senior Machine Learning Engineer who loves production ML over research, with an emphasis on distributed compute, reliability, and end‑to‑end ownership.

This is a role for someone who enjoys shaping platform architecture while still being hands‑on.

What you’ll be doing

• Designing, training, and deploying high‑scale ML models used in live systems
• Building distributed training pipelines (PyTorch, Ray)
• Owning the ML lifecycle across feature engineering, training, evaluation, inference, monitoring
• Improving ML reliability, observability, and reproducibility
• Working closely with engineering, SRE, and product to shape platform direction
• Contributing to ML architecture standards, CI/CD, and testing frameworks

What they’re looking for

• Strong experience delivering production ML systems end‑to‑end
• Expertise with Python, PyTorch, distributed compute (Ray, Spark)
• Background in large‑scale data processing and MLOps tooling
• Ability to diagnose production issues and drive architectural improvements
• Experience with event‑driven ML and model deployment frameworks is a plus

Why this role

• High ownership of ML platform direction
• Complex, real‑world ML workloads at meaningful scale
• Opportunity to improve and evolve existing infrastructure
• Equity + strong compensation package

HOW TO APPLY

If you’re passionate about building robust, scalable ML systems that drive real business impact, apply now.

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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.

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Senior & Staff Machine Learning Engineers

1 day a month in Dublin

We are working with a global enteratinment company looking to add 2 Machine Learning engineers to their team.

You will be involved in the pricing and optimisation of games across a personalised search platform. You will both build these pricing models and deploy them.

Required:

• Pricing & Optimisation experience
• Deployment experience – docker, kubernetes, CI/CD
• CPlex or Gurobi experience
• Python, TensorFlow, PyTorch experience

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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 systems that improve how teams think, collaborate, and make decisions. Our focus is on augmenting human creativity by embedding intelligent capabilities directly into real-world 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 measurable value. The team is globally distributed, highly collaborative, and driven by ownership and technical excellence.

About the Role

We’re hiring a Senior Machine Learning Engineer to design and ship production AI systems that power collaboration and decision-making at scale. This is an applied ML role with real product impact. You’ll work across retrieval systems, generative AI features, and evaluation frameworks, owning systems from data ingestion through deployment and iteration.

What You’ll Do

• Build and deploy generative AI and RAG systems embedded into real user workflows
• Design and maintain scalable data pipelines for training, evaluation, and continuous improvement
• Implement human-in-the-loop processes to improve model quality and reduce hallucinations
• Partner with product and engineering teams to deliver high-impact, user-facing AI capabilities
• Contribute to training, inference, monitoring, and production deployment infrastructure

What We’re Looking For

• 5+ years building and shipping production machine learning systems
• Strong Python experience with PyTorch or TensorFlow
• Experience with LLMs, embeddings, retrieval systems, or ranking architectures
• Demonstrated ownership of ML systems end-to-end (data to model to serving to iteration)
• Comfortable mentoring others and raising the technical bar

Nice to Have

• MLOps or ML infrastructure experience (CI/CD, observability, automation)
• Experience building AI systems in collaborative or workflow-driven environments

Why Join

• Own production ML systems with real user impact
• Work on applied generative AI in real-world products
• High autonomy and architectural influence
• Remote-first engineering culture
• Competitive compensation and strong growth opportunities

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Senior Machine Learning Engineer

Location: London (approx. 1 day per month onsite)
Compensation: £90k-£100k + bonus

A major global technology company is investing heavily in an R&D initiative aimed at transforming how large‑scale virtual environments are analysed, validated, and improved. They are seeking a Senior Machine Learning Engineer to join a highly technical applied research team working on automated anomaly detection for interactive digital worlds.

This team works across research, prototyping, and applied engineering, tackling challenges involving video understanding, real‑time systems, simulation, and complex behaviours. If you enjoy pushing ML beyond traditional datasets and into rich, dynamic, unpredictable spaces, this role offers an unusual blend of creativity and impact.

What You Will Work On

You’ll contribute to building an intelligent agent system that can autonomously explore digital environments and surface anomalies ranging from visual defects to unexpected gameplay behaviours. This involves models that can learn structure, context, and semantic understanding of highly diverse scenes.
Your work will include:

• Designing and training anomaly‑detection models tailored for video, visual streams, or simulated data.
• Working on components that contribute to autonomous traversal, content understanding, and error detection.
• Prototyping new concepts across self‑supervised learning, multimodal embeddings, or CV architectures.
• Collaborating closely with research scientists, software engineers, and domain specialists.
• Taking part in a research‑driven culture where experimentation and curiosity are encouraged.
• Providing technical guidance and practical mentorship to junior engineers.

This is a role for someone who enjoys blending research thinking with real engineering, and who wants their work to directly influence how complex digital ecosystems are evaluated at scale.

What You Bring

This role suits engineers who love solving challenging ML problems in visually rich environments.
We’re looking for someone who has:

• Strong hands‑on ML engineering experience – ideally with video, image sequences, or visual analytics.
• Exposure to anomaly detection, real‑time analysis, simulation, or sequential modelling.
• Experience with end‑to‑end ML development: data, modelling, prototyping, evaluation, iteration.
• Curiosity or passion for game‑like or simulation‑based environments (not required, but helpful).
• Familiarity with research concepts, academic papers, or experimental methodologies.
• The ability to work in an exploratory, research‑heavy environment with evolving priorities.

Apply with the link below!

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Senior Machine Learning Engineer

Up to £120,000 + bonus
London based (hybrid 2-3 days per week in office)

If you enjoy solving real business problems, and working technical team, this is a brilliant place to grow. You’ll work on end‑to‑end ML projects across multiple private equity companies, helping them unlock value, modernise their data capabilities, and embed production‑ready AI and ML solutions.

THE COMPANY

This technology and consulting organisation partners with private equity firms across the UK and Europe to deliver meaningful, data‑driven transformation. With a good technical team they’ve built a positive reputation and an enjoyable team to work with.

THE ROLE

As a Senior ML Engineer, you’ll work across different clients, industries, and use cases – perfect if you enjoy variety and dislike being stuck on slow moving projects. You’ll be hands‑on with Python, cloud, and Databricks, building and deploying ML solutions with real commercial impact.

You can expect to work on projects such as:

• Optimisation models
• Predictive modelling for customer churn, asset failure, or sales performance
• Full ML life cycle ownership: prototyping → deployment → monitoring
• Building production‑ready pipelines, APIs, and MLOps workflows

You’ll typically work in a small and cross‑functional team.

SKILLS AND EXPERIENCE

The successful Machine Learning Engineer will have the following skills and experience:

• 4-6+ years in ML Engineering or Data Science
• Strong Python skills and experience with cloud platforms (AWS, GCP, or Azure)
• Experience building and deploying production ML systems
• Familiarity with Databricks, Spark, or MLOps workflows (nice to have but not essential)
• Solid understanding of modern ML methods and data engineering fundamentals
• Strong academic background (ideally Russell Group, with a Master’s minimum)
• Ability to work quickly in fast‑paced environments and communicate with non‑technical stakeholders

BENEFITS

The successful Machine Learning Engineer will receive the following benefits:

• Competitive salary based on level
• Hybrid working
• Ability to work across multiple industries and projects
• Extremely strong, and technical team
• Clear progression paths and high visibility in a small organisation

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

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Staff Machine Learning Engineer

Competitive salary up to £140,000- £210,000 + bonus
London based (1 day in office per month)

This is a global technology group with an R&D team that moves fast and thinks big. They’re exploring how AI can raise the quality and performance of large‑scale digital products, blending hands‑on engineering with real research. If you enjoy trying new ideas, you’ll fit in perfectly.

THE COMPANY

This is a global tech organisation with a dedicated R&D function exploring how AI can improve the quality, reliability, and performance of large‑scale digital experiences. The team works on forward thinking projects that blend research, experimentation, and hands‑on engineering.

THE ROLE

As a Staff ML Engineer, you’ll take the lead on projects focused on anomaly detection in video based or interactive environments. You’ll guide technical direction, support junior engineers, run experiments, and ship models into production.

Specifically, you can expect to be involved in the following:

• Building and improving ML models for anomaly detection
• Leading research work streams
• Scoping, planning, and communicating project direction with stakeholders
• Mentoring juniors
• Working across areas like self supervised learning, multi modal, or vision‑language models
• Bringing concepts to life: from research → prototype → production

SKILLS & EXPERIENCE

You’ll thrive in this role if you have:

• Experience leading technical delivery or mentoring junior ML engineers
• Strong hands‑on ML skills in Python and frameworks like PyTorch or TensorFlow
• A background in anomaly detection, computer vision, or video based ML
• Experience taking ML research or prototypes through to real world deployment
• Either a research grounding (publications, research‑led roles) or deep knowledge of gaming/interactive systems

BENEFITS

• Competitive salary
• 1 day per month in the office
• Sponsorship available
• Great feedback and clear process

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

To Apply for this Job Click Here

Staff Machine Learning Engineer

Location: London (approx. 1 day per month onsite)
Compensation: £140k-£200k + bonus
Visa sponsorship available

A global technology organisation operating at the forefront of interactive digital experiences is expanding its advanced research division. They are looking for a Staff Machine Learning Engineer to help drive an ambitious multi‑year initiative focused on developing next‑generation automated evaluation systems for complex virtual environments.

This division operates like an internal innovation lab – small, deeply technical, and empowered to explore ideas that shape the future of automated testing, simulation, and real‑time content quality. The team’s mission is to build intelligent agents capable of autonomously navigating rich, dynamic digital worlds and detecting anomalies, glitches, and unexpected behaviours at scale.

This is a strategic, high‑ownership role where you will set technical direction, lead complex research efforts, and work across boundaries to turn cutting‑edge machine learning into real‑world impact.

What This Role Looks Like

As a Staff‑level engineer, you’ll operate as a technical leader, research driver, and architect of end‑to‑end ML solutions. You’ll work on problems that sit at the intersection of anomaly detection, computer vision, reinforcement learning, multimodal models, and simulation.
You’ll be involved in:

• Architecting advanced anomaly‑detection systems for visual, video, and multimodal data.
• Driving the research agenda across self‑supervised learning, VLMs, and new CV methodologies.
• Designing rapid prototypes, evaluating results, and scaling only the most promising approaches.
• Shaping long‑term technical strategy in collaboration with research scientists, engineers, and domain experts.
• Providing hands‑on mentorship and guidance to junior and mid‑level engineers (without line management).
• Translating ambiguous research ideas into structured technical workstreams and deliverables.
• Communicating complex concepts clearly to both technical and non‑technical groups.

You’ll be working on a problem space with global impact – the tooling you build will influence how interactive experiences are validated and improved for audiences numbering in the hundreds of millions.

What You Bring

You’ll thrive here if you combine deep ML expertise with originality, curiosity, and the ability to guide others.
Ideal experience includes:

• Strong background in anomaly detection, particularly for visual, video, or temporal signals.
• Experience leading research or engineering efforts within a high‑impact project or product area.
• A track record of technical leadership, architectural decision‑making, and mentoring.
• Proficiency in computer vision, multimodal learning, or self‑supervised methods.
• Solid research grounding – either through publications or through demonstrated applied R&D results.
• Ability to work in environments where the roadmap is innovative, ambiguous and requires exploration.
• A genuine interest in rich interactive digital worlds – whether through gaming, simulation, or related fields.

Apply with the link below!

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