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Senior Machine Learning Engineer – High-Performance AI Systems

Location: Remote

Compensation: $250,000 – $350,000

We are seeking a Senior Machine Learning Engineer to join a team building high-performance AI systems at scale. This role sits at the intersection of machine learning, systems engineering, and product delivery, with a strong emphasis on GPU optimization, low-latency inference, and scalable ML pipelines.

This position is ideal for engineers who enjoy deep technical challenges, working close to the hardware, and developing ML solutions that are both efficient and production-ready.

Responsibilities

• Design, implement, and improve machine learning systems for large-scale datasets, including image, video, and multimodal data
• Build and optimize GPU-accelerated training and inference pipelines, focusing on throughput, latency, and reliability
• Develop performance-critical components using CUDA, C++, or other low-level systems programming techniques
• Analyze and resolve bottlenecks across models, data pipelines, and runtime infrastructure
• Collaborate with cross-functional teams to deploy and maintain ML systems in production
• Rapidly prototype, benchmark, and iterate on solutions to meet evolving technical requirements

Must have skills

• 5+ years of experience in machine learning engineering, applied research, or systems-focused ML roles
• Strong foundation in machine learning, with experience in computer vision, graphics, or multimodal systems
• Hands-on experience with GPU optimization and performance tuning, including CUDA and C++
• Proficiency in at least one modern ML framework (PyTorch, TensorFlow, or equivalent)
• Ability to write clean, maintainable code across both research and production contexts
• Experience taking ML solutions from prototypes to production
• Strong collaboration and communication skills for working in cross-functional teams

Nice to have skills

• Familiarity with generative model architectures (diffusion models, GANs, transformers)
• Experience with real-time, low-latency, or performance-sensitive systems
• Scaling training or inference across multi-GPU or cluster environments
• Exposure to simulation-driven or multimodal AI systems

Why This Role

• Work on technically challenging ML problems where efficiency and performance are central
• Ownership of both model quality and system performance
• Influence how large-scale, GPU-accelerated ML systems are designed and maintained
• Collaborate with a team solving complex problems without established playbooks

If you are passionate about building fast, scalable ML systems and enjoy tackling performance-critical engineering challenges, this role offers the chance to make a substantial impact in a high-performance AI environment.

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Product Manager – AI Products

Compensation: $250,000 – $300,000

We are hiring a Product Manager to help define and deliver AI-driven products built on modern machine learning capabilities. This role is suited to someone with a strong product background who is comfortable working with technical and ML-heavy systems and enjoys translating complex technology into usable, high-value products.

You will work cross-functionally with research, engineering, and design partners to identify opportunities, shape product direction, and guide features from early concept through release.

Responsibilities

• Define product opportunities based on user needs, technical feasibility, and business priorities
• Partner with research and engineering teams to bring ML-based capabilities into production
• Lead product discovery through user interviews, data analysis, and experimentation
• Define success metrics and use insights to prioritize and iterate on features
• Coordinate across teams to ensure clear requirements, alignment, and timely delivery

Must have skills

• 3+ years of experience in product management
• Working knowledge of SQL and Python, with familiarity using developer tools and version control preferably from an engineering background
• Understanding of current machine learning capabilities and AI-enabled products
• Experience in understanding research driven workflows
• Experience building products in fast-paced, evolving environments
• Strong written and verbal communication skills and the ability to prototype
• Ability to work effectively with technical and non-technical stakeholders

Nice to have skills

• Experience collaborating closely with ML or data science teams preferably with an ML engineering background
• Exposure to experimentation frameworks and data-driven product development
• Background in technically complex or platform-based products

What This Role Offers

• Ownership over AI-driven product areas
• Collaboration with highly technical teams
• Opportunity to influence how advanced technology is applied in real-world products
• A role focused on execution, impact, and continuous iteration

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To Apply for this Job Click Here

Senior Backend API Engineer – Cloud & AI Systems

Location: Remote (North America & Europe)

Compensation: $250,000 – $300,000 base salary + potential equity package

We are seeking a Senior Backend API Engineer to join a team building high-performance, cloud-native systems that support large-scale data processing and AI-powered applications. This role is ideal for engineers who enjoy solving complex technical problems, optimizing performance, and delivering production-ready backend services at scale.

Our engineering team works across multiple domains, including building scalable APIs, orchestrating workloads in the cloud, and deploying machine learning models and data pipelines to production.

Technical Stack

• API layer: TypeScript or comparable backend language, deployed in containerized environments (ECS, Fargate, or similar)
• Cloud infrastructure: AWS or GCP services including S3, CloudFront, Lambda, Kinesis, and SQS
• ML / inference backend: Python (PyTorch, TorchScript) deployed across multiple clusters and cloud providers
• Container orchestration: Kubernetes, including k8s-native orchestration tools
• Monitoring & observability: Prometheus, Grafana, or equivalent
• Infrastructure management: Terraform or similar infrastructure-as-code tools

Responsibilities

• Design, implement, and maintain public and internal APIs supporting high-throughput backend systems
• Take ownership of the full API lifecycle, from design and implementation to monitoring, optimization, and documentation
• Implement security, authentication, rate limiting, and observability to ensure APIs are reliable at scale
• Optimize performance, reliability, and maintainability of backend services
• Collaborate with cross-functional teams to deploy AI-powered systems and data pipelines
• Rapidly prototype, benchmark, and iterate on solutions under evolving technical requirements

Must have skills

• 4+ years of experience in a backend-focused software engineering role with Typescript
• Experience with PostgreSQL (query optimization, indexing, schema design)
• Proven ability to architect production-ready systems at scale using cloud services
• Experience with containerized services and orchestration (ECS, Kubernetes, or equivalent)
• Strong problem-solving, collaboration, and communication skills
• Ability to work in a fast-paced, high-ownership environment

Nice to have skills

• Experience deploying machine learning or AI models in production
• Background in high-throughput, low-latency, or distributed systems
• Familiarity with observability tooling (Prometheus, Grafana)
• Experience with CI/CD pipelines and infrastructure-as-code

Why This Role

• Work on technically challenging backend systems supporting large-scale AI and data applications
• Take ownership of API design, performance, and reliability
• Collaborate with a skilled, cross-functional team tackling complex infrastructure and ML deployment challenges
• Influence the architecture and scaling of critical backend systems

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SENIOR DATA ENGINEER

$150,000 – $175,000 BASE SALARY + BENEFITS

REMOTE (United States Based)

COMPANY OVERVIEW

A forward-thinking analytics company focused on leveraging data to drive better outcomes for underserved populations. Their platform helps organizations identify inefficiencies, streamline processes, and enhance the quality of services through advanced data-driven insights.

THE ROLE

As a Senior Data Engineer, you will design and automate scalable data pipelines, ensuring data integrity and efficiency in processing large-scale datasets. This role is ideal for someone passionate about building end-to-end solutions that go beyond moving data to creating systems that streamline and transform analytics.

ROLE RESPONSIBILITIES

• Develop and optimize ETL pipelines using Python, SQL, and Airflow for automation and batch processing.
• Leverage Linux environments to implement scalable and efficient data workflows.
• Collaborate with cross-functional teams to document processes using Confluence and ensure streamlined communication.
• Build and enhance data models to support reporting, monitoring, and advanced analytics.
• Drive innovation in orchestration and automation, standardizing processes for future scalability.

SKILLS & EXPERIENCE

• 6+ years of experience in data engineering, including 3+ years focused on Python, SQL, and Airflow.
• Strong expertise in ETL design and automation for large-scale data environments.
• Proficiency in Linux-based systems and experience optimizing workflows in on-premise infrastructures.
• Familiarity with documentation tools like Confluence and collaboration in agile teams.
• Healthcare or B2B experience is a plus, with a preference for candidates who have worked on large, complex datasets.

BENEFITS

• Competitive salary: $150,000 – $175,000 Base Salary + Benefits
• Flexible work environment with occasional travel.

If you’re eager to make an impact by building scalable, transformative data systems, we’d love to hear from you!

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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.

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Analytics Manager – Retail (Permanent)
£65k + car allowance + bonus
Hybrid working: 3 days onsite

I’m recruiting on behalf of a leading international organisation for a permanent Analytics Manager to play a key role within a fast-paced, data-driven environment. This is a senior opportunity where analytics directly informs decision-making, performance improvement, and operational strategy, offering strong visibility, influence, and long-term career progression.

The Role

• Lead, mentor, and develop a team of data analysts and BI specialists
• Own delivery of high-quality reporting, insight, and analytics
• Partner with senior stakeholders to translate business needs into scalable data solutions
• Ensure strong data governance, coding standards, and data quality
• Balance strategic leadership with hands-on technical involvement

About You

• Proven experience leading analytics or BI teams
• Strong SQL skills and experience with Power BI or Tableau
• Confident communicator able to translate complex insights for non-technical audiences
• Experience in project-based or Agile environments
• Supply chain or logistics exposure (or strong interest)
• Python, data warehousing, and ETL experience beneficial

This is a high-impact role offering strong stakeholder exposure, long-term career development, and a competitive package within a data-driven organisation.

If you are interested in the role, please apply. To follow up please message me on LinkedIn or email.

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To Apply for this Job Click Here

Technical Architect (Cloud, Data & Platform)

Salary: £90,000 – £100,000
Hybrid: 3 days in Central London

I’m partnering with a client who are building a brand-new platform at the intersection of creativity, data and AI – enabling creators to licence digital content on transparent terms, while giving AI developers ethical access to high-quality data at scale. This is an early-stage hire where you’ll play a key role shaping a pilot and setting the foundations for a platform built to scale.

The role

As the Technical Architect, you’ll own the high-level architecture across cloud infrastructure, data platforms, APIs, integrations and security, working closely with an external platform provider and internal product leadership to deliver the MVP/MLP and the longer-term technical roadmap.

Key responsibilities

• Define and govern platform architecture (cloud, data, APIs, integrations, security)
• Set standards for schemas, metadata and interoperability
• Support hands-on delivery and solve complex technical challenges
• Produce clear documentation, technical direction and best practices

What my client is looking for

• 10+ years in engineering / architecture roles
• Strong experience with cloud-native distributed systems
• Hands-on AWS/Azure/GCP knowledge (IAM, networking, storage, compute)
• Strong data architecture experience (schemas, metadata, governance)

Nice to have

• Data-intensive platform/marketplace experience
• Integration-heavy work + exposure to IaC/DevOps

Location & eligibility

UK-based role. Right to work in the UK required (no sponsorship).

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