To Apply for this Job Click Here

Senior Machine Learning Engineer
Fully Remote, United States | $200,000 to $230,000 base plus equity and benefits

This is a high impact opportunity to shape how Vision Language Models are applied in real world, production grade systems. You will play a central role in building and scaling VLM driven intelligence that connects edge devices with cloud based reasoning, influencing both technical direction and product outcomes in a fast moving environment.

The Company
They are a technology led organisation building intelligent, connected solutions that blend advanced machine learning with real world operational workflows. Their platform is designed to turn complex visual data into actionable insights at scale. The team brings together expertise across machine learning, computer vision, embedded systems and data science, with a strong focus on building systems that perform reliably in production.

The Role

• Own the design and development of cloud based Vision Language Model pipelines used for large scale labelling and annotation
• Drive decisions on what visual signals, metadata and contextual information are captured from edge devices to maximise VLM performance
• Build and evaluate end to end inference systems, including prompt design, fine tuning strategies and model benchmarking
• Partner closely with embedded systems, computer vision and data science teams to close the loop between devices and cloud intelligence
• Stay at the forefront of the VLM landscape, assessing and integrating commercial and open source models as capabilities evolve

Your Skills and Experience

• Strong commercial experience as a machine learning engineer working with computer vision, LLMs or Vision Language Models
• Hands on experience evaluating, fine tuning or deploying VLMs in production environments
• Deep understanding of how edge constraints such as bandwidth, latency and compute influence model design
• Proficiency with Python, PyTorch and modern cloud based inference and evaluation tooling
• Practical expertise in prompt engineering and model evaluation, with a focus on measurable performance improvements
• Comfortable owning problems end to end and collaborating across hardware and software teams

What They Offer

• Competitive base salary of $200,000 to $230,000 plus equity
• Fully remote working across the United States
• Comprehensive benefits including medical, dental and vision cover
• Flexible paid time off and a strong culture of autonomy and trust
• The opportunity to be a technical leader in the application of Vision Language Models at scale

How to Apply
If you are excited by the challenge of building production grade VLM systems with real world impact, apply now to learn more about this opportunity.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Machine Learning Engineer / ML Scientist
Remote, United States
$160,000 to $210,000 base salary plus bonus and equity

This is an opportunity to join a high-impact machine learning team where your work directly influences real-time decisioning at scale. You will operate with a high level of ownership, designing and deploying models that solve complex problems in a production environment. The role blends scientific experimentation with strong engineering execution, offering the chance to shape both model performance and the systems that support it.

The Company

They are a fast-growing technology business operating at the intersection of machine learning and financial risk within e-commerce. Their platform enables large-scale, real-time decision-making across global transactions, helping customers optimise outcomes while reducing risk exposure.

The Role

* Design, build, and deploy machine learning models that operate in high-scale, real-time environments
* Own the full lifecycle of ML projects from experimentation through to production deployment and monitoring
* Develop advanced modelling approaches, including ensemble methods and performance optimisation techniques
* Build and improve offline evaluation frameworks to ensure robust and reliable model performance
* Work with large-scale distributed systems and datasets using tools such as Python, SQL, and Spark
* Collaborate cross-functionally with engineering, product, and risk teams to translate business challenges into ML solutions
* Contribute to a culture of experimentation, innovation, and continuous improvement within the ML function

Your Skills & Experience

* Strong commercial experience delivering machine learning solutions in production environments
* Deep understanding of machine learning theory, statistical modelling, and evaluation methodologies
* Proven ability to design and run experiments independently, from problem definition through to insight generation
* Experience working with large-scale distributed data processing systems, particularly Spark
* Strong programming skills in Python and SQL
* Experience taking models from research through to scalable deployment
* Academic background in a quantitative field such as Computer Science, Statistics, or similar is valued
* Experience in fraud, payments, or e-commerce is beneficial but not essential

What They Offer

* Competitive base salary between $160,000 and $210,000 depending on level and location
* Annual bonus and equity package
* Unlimited paid time off
* Retirement plan with employer contribution
* Comprehensive healthcare, dental, and vision coverage
* Paid parental leave and wellbeing support
* Learning and development budget
* Flexible remote working with minimal in-person requirements
* Clear progression opportunities within a growing machine learning organisation

To Apply for this Job Click Here

To Apply for this Job Click Here

Principal Data Scientist

Remote | Salary up to $220,000 + 15% bonus

This is an opportunity to step into a senior, high-impact Principal Data Scientist role where you will shape the direction of advanced AI and data science initiatives at scale. You will work on commercially meaningful problems, leveraging cutting-edge techniques including generative AI, while influencing both strategy and delivery across a globally recognised platform.

The Company
They are a well-established, innovation-led organisation focused on delivering data-driven products at scale. With a strong investment in AI and advanced analytics, they partner closely across product, engineering, and design to create impactful, user-focused solutions. Their teams are highly collaborative and operate in a modern, fully remote environment that encourages autonomy and technical excellence.

The Role

• Lead the design and implementation of advanced data science and AI solutions aligned to business objectives
• Provide technical leadership across complex projects, setting direction and best practice for modelling and deployment
• Collaborate with cross-functional stakeholders to identify opportunities and define requirements
• Apply generative AI and other advanced methodologies to solve real-world problems
• Translate technical findings into clear, actionable insights for senior stakeholders
• Oversee project timelines and ensure successful delivery across multiple workstreams

Your Skills and Experience

• Strong commercial experience in data science and machine learning, with recognised expertise in a specialist area
• Deep understanding of production-level AI systems and recent exposure to generative AI techniques
• Proven ability to lead complex projects end to end, from concept through to deployment
• Experience working cross-functionally with product, engineering, or business teams
• Clear and collaborative communication style, with the ability to influence senior stakeholders
• Background in a quantitative or technical field such as Data Science, AI, Mathematics, or similar

What They Offer

• Salary up to $220,000 with a 15% performance bonus
• Fully remote working with flexibility and autonomy
• Opportunity to work on high-impact AI initiatives at scale
• Collaborative, forward-thinking technical environment
• Clear scope for progression into broader technical or strategic leadership roles

How to Apply
If you’re interested in exploring this Principal Data Scientist opportunity, apply now for a confidential discussion.

To Apply for this Job Click Here

To Apply for this Job Click Here

Private Cloud Architect

Location: Dallas, TX (100% onsite – 5 days per week)
Compensation: $175,000 – 225,000 base

Overview

We are seeking a highly skilled Private Cloud Architect to design and build scalable, automated infrastructure across our data center environments. This role sits at the intersection of platform engineering and architecture, serving as the connective layer between compute, storage, and networking systems.

This is not a public cloud role – the focus is entirely on private cloud architecture, with a strong emphasis on Kubernetes, automation, and infrastructure as code. The ideal candidate is deeply technical, hands-on, and capable of operating at both the engineering and architectural levels.

What You’ll Do

• Design and implement private cloud platform architecture across on-premise environments
• Serve as the integration point between compute, storage, and networking layers
• Lead development of Kubernetes-based platforms, applying a “Kubernetes as code” mindset
• Drive automation strategy using Infrastructure as Code (e.g., Terraform)
• Build and support hybrid cloud connectivity to public cloud environments (AWS, Azure, or GCP)
• Define and embed security architecture principles into platform design
• Collaborate across infrastructure teams to modernize and scale platform capabilities
• Provide hands-on technical leadership, raising engineering standards and depth within the team

Required Qualifications

• 8+ years of experience in infrastructure engineering, platform engineering, or cloud architecture
• Strong background in private cloud and data center environments
• Deep, hands-on experience with Kubernetes (design, deployment, and operations)
• Experience with Kafka and Spark in distributed systems environments
• Proficiency in Infrastructure as Code (Terraform or similar tools)
• Experience with container platforms such as OpenShift or SUSE Rancher
• Strong understanding of networking concepts, including:
  • L2/L3 networking
  • EVPN/VXLAN
  • SDN and load balancing
• Experience with hybrid cloud integration (on-prem to public cloud)
• Solid understanding of security architecture and design principles
• Proven hands-on experience in platform engineering or SRE environments

Preferred Qualifications

• Experience supporting HPC or GPU-based infrastructure
• Background working in large-scale, highly regulated, or enterprise environments

What We’re Looking For

• A hands-on builder, not a strategy-only architect
• Someone comfortable working deep in the stack – from infrastructure to orchestration
• Strong problem solver who can connect disparate systems into a cohesive platform
• A technical leader who can elevate engineering rigor within the team

To Apply for this Job Click Here

To Apply for this Job Click Here

Director, Data Center Operations (Hyperscale)

Location: Remote within the US
Full-Time | Salary: Up to $300,000

Overview

We are seeking a Director of Data Center Operations to lead multi-site operations across a growing hyperscale footprint. This role will drive uptime, operational excellence, and team leadership across critical environments.

Responsibilities

• Lead end-to-end operations across multiple data center campuses
• Ensure 99.999% uptime and SLA adherence
• Build and lead high-performing teams (managers + engineers)
• Oversee incident management, RCA, and continuous improvement
• Manage vendors and third-party service providers
• Partner with engineering, construction, and capacity planning teams

Required Skills

• 10+ years in data center or critical facilities operations
• Strong expertise in electrical/mechanical infrastructure (UPS, generators, chillers)
• Experience with Tier III/IV environments
• Proven leadership across multi-site operations
• Deep knowledge of SLA management and reliability metrics

Requirements

• Must be authorized to work in the U.S. (no sponsorship available)

To Apply for this Job Click Here

To Apply for this Job Click Here

Principal Platform Architect / Senior Platform Engineer

Location: 100% onsite Dallas, TX – Will pay for relocation
Compensation: $200,000 – $225,000 Base Salary + Benefits

Overview

We are partnering with an innovative technology organization seeking a Principal Platform Architect / Senior Platform Engineer to help define and evolve the foundational infrastructure powering the company’s next generation of applications and services.

This is a highly technical individual contributor role focused on architecture and building a scalable hybrid cloud platform that enables engineering teams to rapidly deploy, operate, and scale mission-critical applications. The successful candidate will serve as a strategic technical leader, designing the blueprint for the platform that underpins the organization’s software ecosystem.

The environment combines private cloud, public cloud, and on-premises infrastructure, requiring a hands-on architect who can bridge infrastructure, cloud platforms, developer experience, and large-scale distributed systems.

What You’ll Do

• Define and evolve the architectural vision for a modern hybrid cloud platform spanning private, public, and on-premises environments.

• Design the foundational infrastructure and platform capabilities that support application development across the organization.

• Build and enhance internal platform products and self-service capabilities used by engineering teams.

• Drive platform engineering best practices, automation strategies, and infrastructure standardization.

• Partner with software, infrastructure, and cloud engineering teams to deliver scalable and reliable platform services.

• Architect solutions supporting high-performance computing, GPU-enabled workloads, and data-intensive applications.

• Lead Infrastructure-as-Code initiatives to automate provisioning, deployment, and operational processes.

• Evaluate and implement technologies that improve scalability, reliability, developer productivity, and operational efficiency.

• Provide technical leadership on container orchestration, cloud-native architectures, and distributed systems.

What We’re Looking For

• 10+ years of experience in platform engineering, infrastructure engineering, cloud architecture, or related disciplines.

• Experience designing and operating large-scale hybrid cloud environments.

• Deep expertise with Infrastructure as Code (Terraform, Pulumi, CloudFormation, or similar).

• Strong experience with Kubernetes and enterprise container platforms such as OpenShift, Rancher, or comparable technologies.

• Hands-on experience with public cloud platforms, particularly AWS.

• Strong understanding of private cloud and on-premises infrastructure architectures.

• Experience supporting high-performance computing (HPC) and/or GPU-based environments.

• Familiarity with large-scale data processing and streaming technologies such as Kafka and Spark.

• Strong understanding of distributed systems, networking, observability, reliability, and platform operations.

• Proven ability to architect platforms used by large engineering organizations.

Preferred Background

• Experience building internal developer platforms or platform-as-a-product environments.

• Experience within large technology organizations or enterprise-scale environments.

• Exposure to modern data infrastructure, real-time streaming systems, and AI/ML infrastructure.

• Strong communication skills with the ability to influence architecture decisions across multiple engineering teams.

Why This Role?

This opportunity is ideal for an architect-level engineer who enjoys designing the foundation that other engineers build upon. You’ll have significant influence over platform strategy, cloud architecture, infrastructure modernization, and the developer experience across a highly technical organization.

To Apply for this Job Click Here

To Apply for this Job Click Here

AI Strategy and Solutions Director
New York City
$250,000 to $275,000 Base ($375,000 total comp)

This is a senior, business facing AI leadership role with genuine influence. You will shape how artificial intelligence is embedded across a complex, asset heavy organisation, moving from strategy through to delivery and measurable commercial impact.

The Company
They are a privately held investment and operating group with a diverse portfolio spanning multiple asset classes. The organisation is highly entrepreneurial, data rich, and committed to using technology to drive better decision making and operational performance. AI is viewed as a long term strategic capability rather than a standalone function.

The Role
You will own the end to end AI agenda across the business, working closely with senior stakeholders.

• Define and deliver a company wide AI strategy aligned to commercial objectives
• Identify high value AI and automation use cases across investments, operations, and corporate functions
• Partner with data and technology teams to unlock internal and external data for advanced analytics
• Lead vendor selection and oversee delivery of AI solutions from concept to production
• Drive adoption through change management, training, and clear communication of value
• Ensure responsible AI governance, data privacy, and regulatory compliance

Your Skills and Experience

• Strong commercial experience leading AI or advanced analytics initiatives in complex organisations
• Deep understanding of machine learning, analytics, and AI applications in a business context
• Ability to translate technical capability into clear business outcomes and ROI
• Confident stakeholder management skills, working with senior leaders across functions
• Experience operating in asset intensive or investment led environments is advantageous

What They Offer

• Competitive base salary with bonus potential
• Comprehensive benefits package including healthcare, retirement, and wellbeing support
• High visibility role with direct impact on strategy and value creation
• Opportunity to build and scale AI capability with long term career progression

How to Apply
If you are looking to lead AI strategy in a commercially driven environment, apply now to learn more.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead AI Engineer
London (Hybrid, 2 days in Soho)

This is a rare opportunity to step into a genuinely business-critical AI leadership role within a large, complex organisation at an early stage of its AI journey. You will have the mandate to shape how AI is built, governed and scaled across the business, with a clear focus on real operational impact rather than experimentation.

The Role

• Take ownership of the end-to-end AI strategy across the organisation, from architecture and tooling through to governance and delivery
• Design, build and productionise LLM-powered workflows and AI-enabled systems used internally across operations
• Identify, scope and deliver new AI use cases that solve tangible business problems
• Build and evolve AI infrastructure without predefined blueprints, making informed architectural decisions
• Partner closely with non-technical stakeholders to translate business needs into scalable AI solutions
• Establish best practices across MLOps, DevOps and responsible AI at enterprise scale

Your Skills & Experience

• Strong software engineering foundations with deep backend experience
• Commercial experience building and deploying AI or LLM-based systems into production environments
• Excellent data fundamentals with the ability to bridge data science and applied AI engineering
• Hands-on expertise across cloud platforms, MLOps, DevOps and modern software engineering principles
• Proven ability to operate at enterprise scale, balancing speed, quality and governance
• Confident communicator who can engage senior stakeholders and operate in ambiguous environments

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior / Tech Lead Product DS

This is a standout opportunity to join a fast growing, AI first scale up where data science directly shapes product decisions. You will work on text driven, AI native products used by high profile global businesses, with real ownership and visibility.

The Company
They are a B2B SaaS business building AI powered products centred on language and user interaction. Founded by researchers and now valued at over $1bn, they operate in a true scale up environment with strong investment in data and analytics.

The Role
You will sit in a central text analysis team working across the business.
Key responsibilities include:
* Analysing large scale, unstructured text and interaction data to understand user behaviour.
* Evaluating AI features, including prompts and model outputs, and defining what good looks like.
* Applying NLP, semantic analysis, classification and regression techniques to drive product insight.
* Partnering with Product and Engineering to influence the roadmap with clear, evidence led recommendations.
* Owning analysis end to end, from problem definition to measurable impact.

Your Skills & Experience
* Strong Python and SQL skills in a product focused data science or analytics role.
* Hands on experience with NLP, semantic analysis, or large scale text data.
* Experience working on AI or ML driven products in a B2B SaaS or scale up environment.
* A pragmatic, impact focused mindset with confidence owning problems end to end.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior/Principal Applied AI Engineer
United States, hybrid or remote. Competitive salary plus benefits.
$150,000 to $205,000 + 15% Bonus

This is an opportunity to take ownership of real, production-grade Generative AI solutions in a highly applied environment. You will work on end-to-end AI delivery, from early prototypes through to scalable deployment, with clear visibility of the impact your work has on customers and internal teams.

The Company
They are a well-established organisation operating in a highly regulated, customer-focused industry. Data and AI are central to their strategy, with significant investment in modern platforms and applied AI capabilities. The business values practical innovation, collaboration, and building technology that delivers measurable outcomes at scale.

The Role
You will be a senior, hands-on contributor within an Applied AI team, responsible for turning GenAI concepts into robust solutions. Key responsibilities include:

• Designing, building, and deploying Generative AI applications across client-facing and internal platforms.
• Developing LLM-powered solutions using prompt engineering, vector databases, and Retrieval-Augmented Generation pipelines.
• Building and owning AI chatbots and conversational agents to production standards, including performance, scalability, and compliance.
• Creating AI agents across digital and voice channels to support real-time interactions.
• Delivering proof-of-concept solutions for use cases such as document understanding, summarisation, and knowledge assistants.
• Optimising model usage, prompts, and parameters to balance accuracy, cost, and reliability.
• Collaborating with product, engineering, data, and external partners to align AI solutions with business priorities.

Your Skills and Experience
You will bring strong, practical experience applying Generative AI in commercial settings, including:

• Advanced Python development skills with modern GenAI and machine learning libraries.
• Hands-on experience with large language models, prompt engineering, and LLM evaluation.
• Proven capability building RAG pipelines and working with vector databases.
• Strong SQL skills and experience working with cloud data platforms.
• Experience delivering production-grade conversational AI or chatbot solutions.
• The ability to communicate complex AI concepts clearly to technical and non-technical stakeholders.
• Comfort working in fast-paced, cross-functional environments.

What They Offer

• Competitive salary and comprehensive benefits package.
• The chance to work on high-impact, enterprise-scale AI products.
• Exposure to a wide range of GenAI use cases, including conversational AI and intelligent automation.
• Clear opportunities for technical growth and influence within a growing Data and AI function.
• A collaborative, supportive culture that values continuous improvement and learning.

How to Apply
If you are an Applied AI Engineer looking to build and deploy meaningful Generative AI solutions, apply now to find out more.

To Apply for this Job Click Here

To Apply for this Job Click Here

AI Engineering Lead
Fully Remote, UK with occasional travel to London and Birmingham | £100,000 to £130,000 base plus bonus and benefits

This is a standout opportunity if you want to be the person who defines how AI is built and scaled across an entire organisation. You will step into a genuinely greenfield role with executive visibility, real autonomy and the mandate to turn AI from experimentation into measurable commercial value.

The Company
They are a high-growth group operating in the Testing, Inspection and Compliance space, with a global footprint across the UK, Europe, the US and APAC. Growth has been driven by an ambitious acquisition strategy, while retaining the identity and expertise of each portfolio business. AI is firmly on the leadership agenda, with multiple live proof-of-concept initiatives and clear appetite to invest further. The culture is pragmatic, low ego and refreshingly non-corporate.

The Role

• Act as the first AI Engineering Lead at group level, reporting into the COO with regular exposure to the CEO and executive team.
• Own AI strategy, architecture and delivery across a diverse portfolio of businesses and use cases.
• Take AI solutions from proof of concept through to production, focusing on commercial impact and scalability.
• Evaluate platforms, tools and vendors while setting best practice for AI engineering and deployment.
• Work closely with technical and non-technical stakeholders to identify high-value opportunities and drive adoption across the group.
• Shape the foundations of an AI function that can scale alongside ongoing acquisitions.

Your Skills & Experience

• Strong commercial experience delivering AI and machine learning solutions into production environments.
• Hands-on capability with AI engineering, including LLMs, Python-based development, system architecture and deployment.
• Confidence designing end-to-end solutions rather than isolated experiments.
• Proven ability to influence senior stakeholders and translate business problems into practical AI outcomes.
• A self-starter mindset, comfortable operating with autonomy in a fast-moving environment.

What They Offer

• Base salary of £100,000 to £130,000, with flexibility.
• Annual bonus of up to 20 percent.
• Private medical cover.
• Fully remote working with occasional UK travel.
• High-impact role with long-term progression and the chance to build something meaningful from the ground up.

How to Apply
If you are looking for a senior AI Engineering role with real influence, ownership and visibility, apply now to find out more.

To Apply for this Job Click Here