Artificial Intelligence (AI) Consultant

American Bureau of Shipping
London, United Kingdom
8 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Programme Manager (Forward Deployed)

M-1 Intelligence London, United Kingdom
£60,000 – £75,000 pa Remote

HR Artificial Intelligence (AI) Business Consultant

Quest Search and Selection Nottingham, United Kingdom
On-site

Research Fellow in Artificial Intelligence (AI) and Content Provenance

University of Surrey Guildford, South East England, United Kingdom
£37 – £46 pa Contract

Spatial Computing and Artificial Intelligence Engineer (KTP Associate)

University of Essex Essex, Rayleigh, South East England, United Kingdom
£41 – £51 pa Contract

Lecturer or Senior Lecturer in Artificial Intelligence/Machine Learning

The University of Manchester Manchester, Northern England, United Kingdom
£47 – £71 pa Permanent

Assistant Professor in Robotics and Artificial Intelligence (Research and Education)

University of Birmingham Birmingham, Midlands Of England, United Kingdom
£47 – £56 pa Permanent

Protection Scientist Engineer, Intelligence and Investigations

OpenAI London, United Kingdom
On-site
Posted
14 Jan 2026 (8 months ago)

ABS is seeking an exceptional Artificial Intelligence (AI) Consultant to join us full-time in our AI Practice Team, Europe. In this role, you will coordinate and support the full lifecycle of AI projects, keeping delivery aligned between clients and our technical teams across strategy, solutions, and execution. You will stay close to day-to-day project activity, ensuring requirements are clearly understood, work is well-structured, and the right experts are engaged at the right time. Operating from Warrington or London, England with some remote flexibility, you will help ensure our AI initiatives land reliably, on time, and with consistent quality for clients across our service spectrum.

What You Will Do:

Coordinate day-to-day communication with clients, capturing requirements, clarifying questions, and providing timely updates on progress, risks, and key decisions. Support the project manager in planning and tracking delivery across multiple AI projects, maintaining plans, action logs, RAID logs, and status reporting. Work closely with technical leads and team members to translate client needs into clear, actionable tasks and monitor execution against agreed timelines and scope. Troubleshoot delivery issues as they arise, helping unblock dependencies, escalate risks, and ensure corrective actions are owned and tracked. Help drive quality and consistency by supporting reviews, testing and validation activities, documentation, and adherence to delivery standards and methods. Contribute to internal knowledge sharing and continuous improvement within the AI practice, capturing lessons learned and helping develop playbooks and reusable assets. Support cross-service coordination across AI strategy, AI assistants, custom models, process optimization, policy/procedure optimization, and data standardization/tagging initiatives.

What You Will Need:

Education and Experience

Bachelor’s degree in Engineering, Computer Science, Data/Analytics, or a related field (or equivalent practical experience). + years of experience working in technical or engineering-focused environments supporting structured project delivery. Proven track record coordinating activities across multiple teams and projects simultaneously, including stakeholder management, action tracking, and status reporting. Experience collaborating closely with IT, OT, data/AI, or engineering teams in enterprise or industrial settings. Exposure to cloud-based and data/analytics platforms (, Azure, AWS, GCP, data platforms, BI/analytics tools), with maritime/industrial sector experience considered a plus.

Knowledge, Skills, and Abilities

Proven ability to coordinate activities across multiple technical projects, teams, and stakeholder groups, ensuring alignment on priorities, timelines, and deliverables. Strong organizational and project support skills, including maintaining project plans, action and RAID logs, documentation repositories, and structured status reports. Hands-on experience with common AI/data and IT/OT technology environments, including cloud platforms (Azure/AWS/GCP), data platforms, and analytics/BI tools (, Power BI, Tableau). Ability to understand and communicate technical concepts, architectures, and workflows, and translate them into clear tasks and follow-up actions for delivery teams. Excellent communication and stakeholder management skills, with confidence interacting with technical specialists, business stakeholders, and client counterparts. Solid analytical and problem-solving skills with a structured, detail-oriented approach to tracking issues, dependencies, and risks. Familiarity with collaboration and delivery tools such as Jira, Confluence, and Git-based repositories to support transparent and traceable project execution. Experience working with distributed, international teams and comfort operating in a fast-moving environment with evolving priorities (nice to have but strongly preferred). Awareness of industrial or maritime operational contexts, safety, or regulatory constraints, and how they impact AI and digital delivery (nice to have). Must hold a valid right to work status in the UK.

Reporting Relationships:

This role reports to the AI Project Manager and does not include direct reports.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Is an AI Forward Deployed Engineer? The Fastest-Growing Job in AI for 2026

If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.