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Lead AI Scientist

$240,000-$260,000 base + bonus + benefits

Remote

About the Organization

Join a global financial services company delivering intelligent information and technology solutions to professionals in legal, tax, compliance, and corporate sectors. The team is part of the organization’s innovation hub, focused on applying AI, LLM, and data science to create forward-looking tools.

The environment combines the best of both worlds: startup energy with enterprise support. Projects include building agentic systems to automate tax prep and document summarization for legal and financial workflows.

About the Role

This is a tech-lead, model building / development-focused role-ideal for someone with a strong foundation in applied AI research and a passion for making machine learning work in the real world. You’ll own experiments, iterate on PoCs, and help define how ML models are built for in production environments.

What You’ll Bring

• 7+ years of machine learning and NLP / LLM modeling experience in applied research and production environments
• PhD in Computer Science, Computational Linguistics, Statistics or similar highly preferred
• Technical leadership experience required; direct people management a plus
• Experience with LLMs, agentic AI or generative AI for customer-facing applications
• Background in: deep learning or NLP preferred; experience building neural networks like CNNs, RNNs, LSTM, or similar
• Cloud environments (provider-agnostic), AWS or GCP a plus
• Python, PyTorch, TensorFlow, Hugging Face, BERT, RAG experience preferred
• Publication and patent history a plus
• Strong collaboration and communication skills, including experience working with non-technical stakeholders
• Independent problem-solver with a proactive mindset

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | Applied Research | Production | AI | Artificial Intelligence | Publications | Patents | PyTorch | Python | Deployment | Hugging Face | RAG | Retrieval Augmented Generation | Agents | Agentic AI | Generative AI | NLP | Natural Language Processing | Chatbots | NER | Information Extraction | Information Retrieval

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AI Engineer – Lincolnshire

We are working with a motor insurance company who are investing heavily in AI-driven automation to scale inhouse operations.

You will work closely with engineering, operations, and compliance teams to identify business problems and apply AI pragmatically, ensuring solutions are secure, explainable, and compliant. This is a hands-on role with strong influence over technical direction and AI best practices.

Key points:

• Design and implement AI-driven solutions across core business workflows
• Deliver production-grade AI use cases including:
  • Contact centre transcription and summarisation (human-in-the-loop)
  • Automated account summaries (payments, vulnerabilities, key facts)
  • Deal payout validation across complex document sets
• Work with multiple LLMs (e.g. GPT, Gemini) and evaluate model quality
• Implement governance and validation layers to ensure factual accuracy and compliance

Essential:

• Strong software engineering background
• Experience with Python and/or TypeScript
• Hands-on experience building AI or LLM-powered systems
• Understanding of AI governance, validation, or human-in-the-loop processes
• Experience working with cloud platforms (preferably Azure)

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Forward Deployed Senior Data Scientist

Salary: $175,000+ (Depending on Experience)

Locations: Remote (with 25% travel)

THE COMPANY

A high‑growth, mission‑focused technology organisation is expanding its advanced analytics and AI function. Operating in a complex, data‑rich environment, the team builds scalable, high‑impact AI systems that support critical decision‑making and deliver tangible operational value. The environment is fast‑paced, innovative, and ideally suited to someone who thrives in high‑autonomy, high‑impact roles.

THE ROLE

As a Forward Deployed Senior Data Scientist, you will work directly with stakeholders to translate complex problems into deployable AI solutions. You’ll use a combination of proprietary and commercial datasets to uncover insights, build models, and deploy production‑ready systems that support strategic decision‑making.

This role blends hands‑on data science, AI engineering, rapid prototyping, and end‑to‑end delivery ideal for someone who is highly analytical, scrappy, and passionate about solving complex technical challenges with real‑world impact.

KEY RESPONSIBILITIES

• Build advanced AI/ML/DS models and systems tailored to high‑value operational challenges
• Develop new AI‑driven technology stacks designed for specific customer use cases
• Lead end‑to‑end delivery of AI projects, from scoping to production deployment
• Partner with research, engineering, and software teams to deliver robust AI products
• Define architectural standards and project roadmaps for scalable AI systems
• Create evaluation frameworks for AI deployments, including performance, reliability, and observability
• Mentor junior team members and help shape a culture of excellence and innovation
• Stay current with emerging techniques in AI, LLMs, and agentic systems; drive adoption of best practices
• Build agentic AI systems leveraging reasoning frameworks and orchestrators
• Act as a technical leader, translating high‑level objectives into actionable technical plans

EXPERIENCE REQUIRED

• Extensive experience designing, developing, and delivering AI/ML solutions end‑to‑end
• Strong software and data science fundamentals (Python essential)
• Experience building production‑grade AI systems and integrating them into customer environments
• Ability to collaborate across research, engineering, and product teams
• Experience working with large‑scale datasets and cloud‑based ML deployments
• Strong organisational skills and the ability to communicate complex ideas clearly
• Proven ability to operate independently in fast‑moving environments and manage competing priorities
• Passion for rapid prototyping, experimentation, and building high‑impact solutions

DESIRABLE EXPERIENCE

• Publications in top AI/ML/NLP or decision science venues
• Experience developing evaluation systems for LLMs or agentic models
• Experience with fine‑tuning, post‑training, or advanced model adaptation
• Familiarity with MLOps, monitoring, deployment, and large‑scale model management
• Track record of converting research prototypes into production systems

THE OFFER

• Competitive compensation (around $175,000 base depending on experience)
• Opportunity to work on deeply impactful, high‑scale AI challenges
• High degree of autonomy, technical ownership, and end‑to‑end influence
• A fast‑paced, innovation‑driven environment with strong technical peers
• Exposure to cutting‑edge modelling, LLMs, and agentic system development

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Lead AI Engineer

$200,000

Location: Pittsburgh, PA (Onsite)

THE COMPANY

A high‑growth, mission‑driven technology organisation is expanding its advanced AI function. The team specialises in building intelligent autonomous systems designed to operate across complex workflows and high‑stakes environments. Engineers here work on cutting‑edge agentic technologies with significant ownership and impact.

THE ROLE

As the Lead AI Engineer, you’ll guide a specialised engineering team responsible for designing, building, and deploying next‑generation agentic AI systems. You will lead technical strategy, architecture decisions, and hands‑on development, while also mentoring engineers and driving best‑in‑class standards for performance, reliability, and scalability.

You’ll oversee the development of agents capable of long‑horizon planning, tool‑use, memory, and coordination across multi‑agent environments, ensuring they can operate effectively in real‑world mission‑critical settings.

KEY RESPONSIBILITIES

• Lead the design and development of agentic AI systems from conception through production
• Architect multi‑agent systems with planning, routing, memory, and complex tool‑use
• Build modular “skills” and components that plug into backend systems and data pipelines
• Establish evaluation frameworks, telemetry systems, and observability tools for agent behaviour
• Guide Agile processes, technical planning, and day‑to‑day engineering execution
• Partner with product and delivery teams to solve complex operational challenges
• Provide mentorship and technical leadership to engineers and data scientists

EXPERIENCE REQUIRED

• Several years of experience building and deploying ML or LLM‑powered systems in production
• Experience leading or mentoring engineering teams
• Demonstrated expertise in LLM integration and agentic system development
• Strong Python engineering skills
• Hands‑on experience with cloud infrastructure (AWS preferred)
• Familiarity with LLM algorithms, scaling patterns, and system reliability
• Ability to operate autonomously in high‑pace, ambiguous environments
• Comfortable with Git and modern engineering workflows

DESIRABLE EXPERIENCE

• Experience designing or deploying complex multi‑agent architectures
• Exposure to startup or high‑growth engineering cultures
• Experience with GenAI coding tools or best practices for agentic systems
• Eligibility to work in secure or sensitive environments

THE OFFER

• Ownership over next‑generation agentic AI strategy and architecture
• Opportunity to lead a high‑impact engineering team
• Work with cutting‑edge LLM and agentic technologies
• Fast‑paced environment with strong technical autonomy

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Lead Data Scientist

$175,000 to $200,000

Location: Pittsburgh, PA (Onsite)

THE ORGANISATION

A quietly scaling technology group is investing heavily in next‑generation AI capabilities. Their work centres on high‑complexity data environments, advanced analytics, and intelligent systems that surface insight, support decision‑making, and power exploratory research. The culture values depth of thinking, technical rigour, and leaders who thrive in ambiguous, evolving problem spaces.

THE OPPORTUNITY

This position will lead the development of sophisticated search, retrieval, and reasoning systems built on large‑scale datasets and advanced modelling techniques. You will act as the senior technical authority architecting platforms, shaping long‑term strategy, and mentoring a high‑calibre team across both Data Science and AI Engineering.

The role blends deep research, hands‑on modelling, system design, and leadership. Expect to define the roadmap for how information is indexed, retrieved, ranked, explored, and transformed into actionable outcomes. This is a position for someone who enjoys building from first principles, driving technical direction, and delivering complex AI capabilities end‑to‑end.

WHAT YOU’LL LEAD

• Designing and building advanced retrieval, ranking, and AI‑driven research systems
• Setting the technical strategy and multi‑year roadmap for search, knowledge exploration, and agentic reasoning capabilities
• Architecting large‑scale pipelines combining embeddings, traditional search methods, knowledge graphs, and hybrid retrieval techniques
• Developing conversational exploration tools, structured reasoning systems, and intelligent query‑understanding models
• Acting as the principal technical contributor on high‑impact projects, while also coaching and elevating senior engineers and scientists
• Collaborating with product and engineering to translate open‑ended problem statements into clear, scalable technical plans
• Establishing best practices across experimentation, modelling, evaluation, and model lifecycle management
• Bringing cutting‑edge research (LLMs, retrieval, agentic behaviours, multimodal embeddings, etc.) into production environments
• Leading workshops, technical discussions, and internal knowledge‑building initiatives

WHAT YOU BRING

• 7+ years’ experience in applied Data Science or AI research within a production‑focused environment
• Background in search/retrieval, ranking systems, embeddings, or related areas
• Expertise in building and scaling RAG pipelines, hybrid retrieval architectures, or advanced indexing strategies
• Strong ability to design and evaluate multimodal embedding models, vector‑based retrieval, and graph‑driven systems
• Deep experience with ranking and reranking architectures (bi‑encoders, cross‑encoders, multi‑tower structures)
• Strong Python engineering fundamentals and experience deploying complex AI systems
• Experience with reasoning frameworks, orchestration approaches, or agentic system design
• Ability to guide high‑impact initiatives from ideation through to production release
• Strong communication skills and the ability to influence technical and non‑technical stakeholders

NICE TO HAVE

• Research publications or recognised contributions to AI/ML/NLP communities
• Experience in fine‑tuning or post‑training large models
• Familiarity with evaluation methods for complex retrieval and agentic systems
• Experience working with large‑scale cloud environments and MLOps frameworks
• Proven ability to transition research prototypes into stable, enterprise‑grade products

THE OFFER

• Competitive compensation
• Ownership of a foundational AI capability within a rapidly scaling technical environment
• Autonomy to shape long‑term direction, architecture, and technical standards
• Opportunity to work on complex, meaningful challenges with a highly skilled AI team

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Lead Data Scientist

$175,000- $200,000

Pittsburgh, PA (Onsite)

THE ORGANISATION

A discreet, high‑growth technology group is expanding its advanced analytics and AI leadership capabilities. The organisation operates in a deeply complex environment where modelling, optimisation, and intelligent decision systems play a central role. They are investing heavily in next‑generation platforms that blend predictive modelling, simulation, and large‑scale automation to influence critical strategic choices.

THE ROLE

This is a senior technical and leadership role responsible for architecting sophisticated simulation, optimisation, and decision‑intelligence systems. You will guide the vision, design, and delivery of large‑scale AI solutions, combining hands‑on expertise with strategic leadership.

Your remit spans the development of system‑level simulations, optimisation engines, and complex modelling frameworks that support high‑impact decision workflows. You will define long‑range technical direction, lead major AI initiatives end‑to‑end, and mentor a highly skilled team of Data Scientists and AI Engineers.

This is a position for someone who thrives in ambiguity, enjoys solving multi‑variable, system‑level challenges, and brings strong conceptual and practical knowledge of advanced modelling.

KEY RESPONSIBILITIES

• Lead the architecture, design, and deployment of advanced simulation and optimisation platforms
• Build multi‑modal modelling systems incorporating predictive analytics, stochastic simulation, and strategic optimisation workflows
• Define the long‑term technical roadmap for modelling and decision‑intelligence initiatives
• Oversee large‑scale AI projects from initial scoping through to production launch
• Act as the senior technical authority on simulation, optimisation, and model strategy
• Develop scalable frameworks that support complex capability modelling and scenario analysis
• Lead the development of platform components that integrate simulation, optimisation, predictive modelling, and decision logic
• Mentor senior technical team members, raising the standard across modelling, experimentation, and delivery
• Establish modelling best practices, evaluation standards, and robust experimentation workflows
• Partner with cross‑functional teams to convert abstract, open‑ended challenges into concrete technical solutions
• Bring emerging research and methodologies (simulation techniques, optimisation methods, advanced model reasoning, etc.) into production systems
• Communicate modelling strategy, risk, and value clearly to both technical and non‑technical stakeholders

WHAT YOU BRING

• 7+ years of applied Data Science or similar experience in complex modelling domains
• Deep experience with simulation methodologies (e.g. discrete‑event, agent‑based, Monte‑Carlo, or similar approaches)
• Strong understanding of stochastic optimisation, Bayesian optimisation, and advanced mathematical modelling techniques
• Ability to design, evaluate, and scale large‑scale modelling systems and optimisation pipelines
• Strong Python engineering foundations and experience delivering production‑ready AI/ML systems
• Experience leading full lifecycle AI/DS projects, from ideation to deployment
• Proven track record of working with large datasets, complex modelling environments, and multi‑component systems
• Ability to mentor senior‑level technical staff and influence high‑level decision‑making
• Comfortable operating in a high‑autonomy, high‑ownership environment

DESIRABLE EXPERIENCE

• Experience with causal modelling, decision science, or structural modelling frameworks
• Experience with complex system evaluation, simulation benchmarking, or modelling validation
• Background in scaling AI/ML or optimisation systems across cloud environments
• Experience converting experimental prototypes into robust, enterprise‑ready solutions
• Strong publication or research contributions in modelling, optimisation, or related fields

THE OFFER

• Competitive Base Salary
• Opportunity to architect foundational modelling and optimisation systems for a major technology programme
• Significant autonomy and technical ownership
• Ability to shape modelling strategy, culture, and long‑term system design
• Work within a deeply technical team solving highly complex, meaningful challenges

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Senior AI Engineer

$175,000 Base Salary

Location: Pittsburgh, PA (Onsite)

THE COMPANY

This organisation operates within a highly secure, mission‑critical environment and is scaling its advanced AI engineering function. They focus on building intelligent, autonomous systems that streamline complex operational workflows and support high‑stakes decision‑making. The work is deeply technical, fast‑moving, and has genuine real‑world impact.

THE ROLE

You’ll be joining a small, high‑calibre engineering team focused on next‑generation agentic AI. The position involves building multi‑agent architectures, long‑horizon planning systems, and robust tools that enable agents to operate reliably at scale.

The ideal candidate loves solving ambiguous technical problems, has shipped LLM‑driven systems end‑to‑end, and thrives in a startup‑style environment.

KEY RESPONSIBILITIES

• Design and build advanced agent‑based systems with planning, routing, memory, and tool‑use capabilities
• Develop modular “skills” and components that integrate with internal services and data pipelines
• Own architectural standards, scalability, and system reliability
• Implement evaluation frameworks, behavioural telemetry, and regression testing
• Partner closely with product and implementation teams to address complex operational challenges

EXPERIENCE REQUIRED

• 5+ years building production ML or LLM-powered systems
• Strong Python engineering background
• Hands‑on experience with LLM integration, agent frameworks, and cloud infrastructure (AWS preferred)
• Proven ability to build systems end‑to‑end in high‑ambiguity, high‑impact environments
• Familiarity with Git, CI/CD, and modern engineering best practices

DESIRABLE EXPERIENCE

• Multi‑agent coordination, tool orchestration, or agentic system design
• Exposure to startup or rapid‑growth engineering teams
• Eligibility for work in secure environments
• Experience with front‑end frameworks (React/Next.js) is a bonus

THE OFFER

• $175,000 base salary
• High‑impact projects with substantial autonomy
• Chance to shape a new generation of agentic AI capabilities
• Work with exceptional technical peers in a deeply mission‑driven setting

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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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Partner – Head of AI & Strategy (Boutique Consultancy)

REMOTE – East & Central US

$400,000 – $600,000 OTE + Equity

We’re supporting a boutique global advisory firm that is expanding its US AI & Data Strategy practice. This is a rare opportunity to build a business from the ground up while leveraging an established international brand and existing enterprise relationships.

This role is suited to someone who combines commercial leadership, AI/Data strategy expertise, and a strong track record of originating new business with the C‑suite.

What you’ll be doing

• Launching and scaling the firm’s US AI & Data practice
• Owning revenue generation and closing transformational AI/Data programs
• Building and deepening C‑level relationships (CEO, CIO, CDO, COO)
• Defining US go‑to‑market strategy and identifying priority verticals
• Establishing credibility in the US AI strategy ecosystem
• Potentially hiring and shaping the early US team over time

What they’re looking for

• 8+ years in strategy consulting within Data/AI transformation
• Proven revenue ownership and ability to build a book of business from zero
• Strong experience selling to senior executives
• US‑based: East Coast or Central time zones
• Someone entrepreneurial who thrives without heavy corporate structure

Why this role

• First US Partner hire with genuine autonomy
• High financial upside + equity
• Ability to shape a national practice and own market strategy
• Direct exposure to senior global leadership

HOW TO APPLY

If you want to build and lead a high‑impact AI strategy practice in the US market, apply today.

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Senior AI Scientist (Research)
United States | $170,000 to $190,000 base salary plus bonus and benefits

This role offers the chance to apply deep learning to high-impact healthcare problems, working with complex medical imaging and clinical data to directly improve diagnostic quality and patient outcomes.

The Company
They are a healthcare technology organisation using clinically validated, AI-driven solutions to improve quality of care at scale. Working across providers and payers, they focus on applying rigorous science to real-world clinical challenges. Their platforms support better decision-making across the patient journey and have national-level reach.

The Role

• Develop and deploy deep learning models to reduce misdiagnosis and improve care quality
• Research and evaluate new AI methods across medical images and clinical text
• Work with large, diverse healthcare datasets and modern cloud and on-prem compute
• Collaborate closely with AI scientists, engineers and clinical experts
• Contribute to publications, conferences, and the wider research roadmap
• Support and mentor other researchers within the team

Your Skills & Experience

• Strong commercial or applied research experience in deep learning
• Advanced knowledge of modern computer vision and or NLP techniques
• Hands-on experience with Python and PyTorch
• Proven ability to drive independent research from idea to evaluation
• Clear communicator, comfortable working in multidisciplinary teams
• Experience with medical imaging or large-scale model training is beneficial

What They Offer

• Base salary of $170,000 to $190,000 plus discretionary bonus
• Comprehensive medical, dental and vision cover
• Flexible time off and strong focus on wellbeing
• Retirement plan and annual professional development stipend
• Clear opportunities for technical growth and research leadership

How to Apply
If you are interested in using AI research to make a tangible impact on healthcare, apply now to find out more.

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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.

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