AI/ML Consultant

Crosslake Technologies

. Identify improvements to technology, organizations, processes, and tools used to develop software products and services .

Posted 9/24/2026contractRemote • United KingdomSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in advanced analytics, data science, and machine learning, with a strong focus on generative AI and model efficacy. Proven ability to lead projects, mentor teams, and deliver impactful solutions in technology assessments and AI implementations.

Highest-signal resume keywords

Advanced AnalyticsData ScienceMachine LearningGenerative AIModel Selection

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data MiningStatisticsModel TrainingModel Fine-TuningBias ManagementML OpsCloud HostingSelf-HostingMulti-Modal AIAI-Enabled Software Engineering

Soft Skills

MentoringCollaborationSelf-Directed WorkWillingness to Learn

Certifications & Qualifications

Advanced Degree in Computer ScienceAdvanced Degree in StatisticsAdvanced Degree in Data ScienceAdvanced Degree in Machine LearningAdvanced Degree in AI

Industry Keywords

Technical Due DiligenceAI AssessmentInvestor ReportsData Asset EvaluationLLM Landscape

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Identify improvements to technology, organizations, processes, and tools used to develop software products and services
Help private equity companies and investment firms assess technology strengths, risks, and improvement opportunities for potential investments through technical due diligence
Design and implement solutions from scratch, including Agile methodology transformations
Guide and mentor junior software developers and engineers
Collaborate with internal and client technical leads and team members
Apprentice as a consultant on the first two projects, then independently drive projects to successful completion
Participate in and lead AI assessment efforts for investment companies
Create investor reports outlining technical investment risks
Participate in hands-on implementation projects and deliver strong customer outcomes
Identify improvements to existing AI technology, organizations, processes, and tools

Requirements

What you’ll need

10+ years of experience in advanced analytics, data science, ML, or analytical AI
Current knowledge of Generative AI
Lead/Senior Scientist or Lead Analytics/ML/AI experience at technology companies or consulting firms
In-depth expert-level Data Science experience, including data mining, statistics, and machine learning
Analytical and generative AI expertise
Evaluation and profiling of available data assets
Current knowledge of the LLM landscape, including commercial and open-source models
Model selection, training, and fine-tuning
Model efficacy metrics and bias management
IP considerations
ML Ops and related tooling
Cloud hosting and self-hosting options, including related economics
Multi-modal AI across text, NLP/voice, images, and video
AI-enabled software engineering
Willingness to learn new areas outside the initial comfort zone
Ability to work self-directed from home or an office while collaborating remotely and in person
Advanced degree in computer science, statistics, advanced analytics, data science, machine learning, or AI

Benefits

Comp & perks

Fully remote work from anywhere in Europe
Ability to work from home or an office of your choosing
Remote and in-person collaboration capacity