CareerAddict

Senior Machine Learning Engineer

CV-Library

Posted on Jul 1, 2026 by CV-Library
City of London, City and County of the City of London, United Kingdom
IT
Immediate Start
£700 - £900 Daily
Contract/Project
Working Environment

You will operate with a high degree of autonomy, owning work end-to-end and engaging closely with both technical and non-technical stakeholders. Delivery is supported by a strong technical assurance and review culture, encouraging challenge, learning and high standards.

You will work within security, compliance and governance constraints where quality and judgement matter as much as pace.

What You'll Be Doing

Lead end-to-end delivery of machine learning solutions, from problem definition through experimentation, evaluation and iteration
Develop, validate and deploy machine learning models into production environments
Apply statistical, mathematical and scientific thinking to frame hypotheses and assess uncertainty
Design and run experiments to evaluate model behaviour, performance and user impact
Work with real, imperfect data drawn from operational systems and workflows
Integrate machine learning components into wider software and data platforms
Balance rigour with pragmatism, delivering solutions that are proportionate and effective
Communicate complex technical concepts clearly to non-technical stakeholders
Engage in technical reviews, design discussions and constructive peer challenge

Your Experience

Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer or equivalent
Strong grounding in applied mathematics, statistics and scientific practice
Excellent Python skills for building, evaluating and deploying machine learning models
Experience evaluating models through quantitative evidence and structured experimentation
Strong software engineering practices, producing readable, testable and maintainable code
Experience integrating ML solutions into production systems and workflows
Feels confident working in secure, regulated or high-assurance environmentsIn Return

You'll work on genuinely challenging machine learning problems where judgement, credibility and delivery matter in a supportive, committed, inclusive environment.

This is an opportunity to operate with autonomy, shape solutions from first principles and contribute to high-impact outcomes within a strong professional culture.

As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us.

We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties.

Guidant Global is acting as an Employment Business in relation to this vacancy

Reference: 225313926

https://jobs.careeraddict.com/post/113492256
CV-Library

Senior Machine Learning Engineer

CV-Library

Posted on Jul 1, 2026 by CV-Library

Print
City of London, City and County of the City of London, United Kingdom
IT
Immediate Start
£700 - £900 Daily
Contract/Project
Working Environment

You will operate with a high degree of autonomy, owning work end-to-end and engaging closely with both technical and non-technical stakeholders. Delivery is supported by a strong technical assurance and review culture, encouraging challenge, learning and high standards.

You will work within security, compliance and governance constraints where quality and judgement matter as much as pace.

What You'll Be Doing

Lead end-to-end delivery of machine learning solutions, from problem definition through experimentation, evaluation and iteration
Develop, validate and deploy machine learning models into production environments
Apply statistical, mathematical and scientific thinking to frame hypotheses and assess uncertainty
Design and run experiments to evaluate model behaviour, performance and user impact
Work with real, imperfect data drawn from operational systems and workflows
Integrate machine learning components into wider software and data platforms
Balance rigour with pragmatism, delivering solutions that are proportionate and effective
Communicate complex technical concepts clearly to non-technical stakeholders
Engage in technical reviews, design discussions and constructive peer challenge

Your Experience

Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer or equivalent
Strong grounding in applied mathematics, statistics and scientific practice
Excellent Python skills for building, evaluating and deploying machine learning models
Experience evaluating models through quantitative evidence and structured experimentation
Strong software engineering practices, producing readable, testable and maintainable code
Experience integrating ML solutions into production systems and workflows
Feels confident working in secure, regulated or high-assurance environmentsIn Return

You'll work on genuinely challenging machine learning problems where judgement, credibility and delivery matter in a supportive, committed, inclusive environment.

This is an opportunity to operate with autonomy, shape solutions from first principles and contribute to high-impact outcomes within a strong professional culture.

As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us.

We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties.

Guidant Global is acting as an Employment Business in relation to this vacancy
Print

Reference: 225313926

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