160 Senior AI Ethicist jobs in London

• Develop and implement comprehensive AI ethics frameworks, policies, and guidelines for the organization.
• Conduct AI ethics impact assessments for new and existing AI systems, identifying potential risks and mitigation strategies.
• Collaborate closely with AI researchers, engineers, product managers, and legal teams to integrate ethical considerations throughout the AI development process.
• Provide expert guidance and training on AI ethics principles to internal stakeholders.
• Stay at the forefront of AI ethics research, policy developments, and regulatory landscapes globally.
• Facilitate multi-stakeholder discussions and workshops on complex AI ethics topics.
• Develop mechanisms for monitoring and auditing AI systems for fairness, bias, and transparency.
• Advocate for responsible AI practices and contribute to the company's thought leadership in AI ethics.
• Manage and mentor a team of AI ethics specialists, fostering a proactive and rigorous approach to ethical AI.
• Engage with external bodies, academic institutions, and industry consortia to advance the field of AI ethics.
• Ensure compliance with emerging ethical AI regulations and standards.

• Advanced degree (Master's or Ph.D.) in Philosophy, Ethics, Law, Computer Science with an ethics focus, or a related field.
• A minimum of 6 years of experience focused on AI ethics, technology ethics, or responsible innovation.
• Deep understanding of key AI ethics concepts, including fairness, bias, transparency, accountability, privacy, and safety.
• Experience in developing and implementing ethical frameworks, policies, or guidelines.
• Proven ability to conduct ethical risk assessments and recommend mitigation strategies for complex technological systems.
• Excellent research, analytical, and critical thinking skills.
• Exceptional communication, facilitation, and interpersonal skills, with the ability to engage diverse audiences effectively.
• Experience in leading and mentoring teams is highly desirable.
• Familiarity with the technical aspects of AI/ML is advantageous.
• Ability to work independently and collaboratively in a remote environment.

• Developing and implementing ethical guidelines and frameworks for AI systems used in child-focused applications (e.g., educational software, assistive technologies).
• Conducting ethical risk assessments and impact analyses for new AI products and features.
• Advising product development teams on ethical considerations throughout the AI lifecycle.
• Collaborating with child development experts, psychologists, educators, and legal advisors to ensure alignment with best practices and regulations (e.g., GDPR-K, COPPA).
• Researching and staying abreast of emerging issues in AI ethics, data privacy, and child online safety.
• Developing training materials and conducting workshops for internal teams on AI ethics and child development principles.
• Contributing to public discourse and policy discussions related to AI and children.
• Reviewing AI algorithms and datasets for potential biases and unintended consequences.
• Establishing mechanisms for ongoing ethical review and oversight.

Job Title: Machine Learning Engineer

Location: London, UK (Hybrid – 2–3 days onsite per week)

Contract Type: Contract

Duration: 6–12 months (possibility of extension)

Start Date: ASAP

Overview

We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced analytics and intelligent automation initiatives.

This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments.

Key Responsibilities

• Design, build, and deploy machine learning models and AI-driven solutions to address business challenges.
• Collaborate with data scientists to transition prototypes into production-ready systems .
• Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment.
• Optimise model performance, scalability, and reliability using MLOps best practices.
• Work with large-scale structured and unstructured datasets for model training and validation.
• Implement model monitoring, versioning, and retraining processes to ensure continuous improvement.
• Collaborate cross-functionally with engineering, data, and product teams to integrate ML solutions into production environments.
• Stay current with emerging trends in AI/ML technologies and contribute to innovation within the organisation.

Required Skills & Experience

• Proven experience (3–5+ years) as a Machine Learning Engineer , Data Scientist , or similar role.
• Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy).
• Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures .
• Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI).
• Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms.
• Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration.
• Knowledge of containerization and orchestration tools (Docker, Kubernetes).
• Experience integrating ML models into production environments via APIs or microservices.
• Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or a related field.
• Familiarity with CI/CD pipelines for ML model deployment.
• Exposure to natural language processing (NLP) , computer vision , or reinforcement learning projects.
• Experience working in Agile/Scrum environments.

Contract Details

• Location: Hybrid – London (onsite 2–3 days per week)
• Type: Day-rate contract (Outside/Inside IR35 subject to assessment)
• Duration: 6–12 months (extension likely)
• Start Date: Immediate or within 2–4 weeks

Why Join

• Work with a talented, cross-functional AI and data engineering team.
• Contribute to cutting-edge ML solutions in a collaborative, innovation-driven environment.
• Hybrid flexibility with a strong London presence.

A leading global hedge fund is looking to speak with Machine Learning researchers from any industry background who might be interested in applying their expertise to the trading domain. You'll be working alongside experienced portfolio management/trading teams to research and implement machine learning strategies to search for alphas in large, unstructured data sets.

Requirements:

-PhD in Machine Learning or related discipline.

-3+ years industry experience applying innovative ML research to real-world problems.

-Experience with large-scale data sets and unstructured data sources.

-Interest in quantitative trading.

-Hands-on coding experience in Python and/or compiled languages.

We are seeking a highly skilled Machine Learning Engineer to join our team on a contract basis. You will be responsible for designing, building, and deploying machine learning models into production, working closely with data scientists, software engineers, and product teams to deliver scalable AI solutions. This is an excellent opportunity for someone who thrives in fast-paced environments and enjoys solving complex problems with real-world impact.

Key Responsibilities

• Develop, train, and optimize machine learning models for production use.
• Collaborate with data scientists to turn research prototypes into production-grade solutions.
• Build robust data pipelines and feature engineering workflows.
• Deploy ML solutions into cloud environments (AWS, GCP, or Azure).
• Implement monitoring, testing, and model performance evaluation frameworks.
• Work with engineering teams to ensure seamless integration of ML models into products.
• Contribute to improving infrastructure, tooling, and best practices for ML development and deployment.

Skills & Experience

Essential:

• Strong programming skills in Python (and frameworks such as PyTorch, TensorFlow, or Scikit-learn).
• Proven experience in developing and deploying machine learning models in production.
• Solid understanding of data structures, algorithms, and software engineering principles.
• Experience with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow).
• Proficiency in working with cloud services (AWS, GCP, or Azure).
• Strong understanding of CI/CD, containerisation (Docker), and orchestration (Kubernetes).
• Excellent problem-solving skills and ability to work independently in a fast-paced environment.

Desirable:

• Experience with NLP, computer vision, or time-series forecasting.
• Familiarity with distributed computing frameworks (Spark, Ray).
• Experience with MLOps and model governance practices.
• Previous contract experience in a similar ML engineering role.

Contract Details

• Duration: 6–12 months (extension possible)
• Location: London (Hybrid working model)
• Day Rate: Competitive, depending on experience

We are partnering with an early-stage, mission-driven company at the intersection of AI and national defence to appoint exceptional Machine Learning Engineers .

This fast-growing organisation is transforming mission-critical combat planning and operational decision-making by building next-generation AI software tools for Western forces.

Founded in 2023, the company has already secured significant early-stage funding, including a $10m Seed round in 2024. The founding team is composed of ex-Palantir and ex-OpenAI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies.

Position location (hybrid) : London (Shoreditch) or Paris (Le Marais)

We are seeking Machine Learning Engineers who are passionate about using AI technology to solve complex, real-world problems with meaningful societal impact. You will be joining a highly collaborative and talented team that is revolutionising how operational planning is conducted at scale and speed.

Primary Responsibilities:

• Shape the company’s AI trajectory by developing AI solutions to solve high-stakes problems
• Collaborate closely with military experts, along with the product team, to identify and capitalise on high-impact opportunities
• Keep the company at the forefront of innovation by exploring and applying the latest research

Requirements:

• MSc in Machine Learning, Computer Science, or a related field
• 5+ years of experience in machine learning, with an expertise in modelling, prototyping, and evaluation
• Strong software engineering skills with a focus velocity
• Excellent communication skills and the ability to flourish in a team
• Located in London/Paris and open to working in office

Tech Stack:

• Python FastAPI
• Python, Typescript, or React
• Open source LLMs
• Building for production

Benefits Currently Offered (likely to improve as company grows):

• 100% coverage for travel expenses
• Childcare support
• Min. 3 months fully paid parental leave
• 25 days holiday + bonus days for company closure
• Subsidised lunches in office
• Gym membership
• Private medical insurance
• Subsidised coaching/training
• Work-from-home allowance to cover office equipment, desk, chair, monitor etc.
• Fertility support benefits, including financial support for IVF
• Menstrual leave/congé menstruel
• Company off-sites twice per year

Interview process:

1. Introductory interview – 45 mins
2. Live coding task – 45 mins
3. On-site interviews + meet the team – half day
4. Final interview with CEO – 30 mins

***This company is not currently offering sponsorship to foreign candidates. If you are not able to live and work in either Paris or London without sponsorship, please do not apply***

Lead ML Engineer - Onsite 5 days a week - London

Happy to look at European relocators

An Edtech Start-up in London are building something transformative in the education space using cutting-edge machine learning.

We're looking for a Lead ML Engineer to take ownership of the machine learning strategy, build out the team, and help shape the future of AI in education.

Responsibilities:

• Build and lead a new ML team from the ground up.
• Define the tech stack for data pipelines and ML models.
• Develop generative models using diverse datasets (text, audio, video, test results).
• Design and deploy data integration and analysis pipelines.
• Collaborate with engineers and product managers to bring ML features to life.
• Create innovative language assessments and predictive models.
• Optimize models for performance, scalability, and accuracy.

Qualifications:

• Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers).
• Strong experience with data tools (Pandas, NumPy, Apache Spark).
• Solid understanding of NLP algorithms.
• Experience integrating ML models via RESTful APIs.
• Familiarity with CI/CD pipelines and deployment automation.
• Strategic thinking around architecture and trade-offs.

If interested please get in touch ASAP!