5,681 AI Specialists jobs in the United Kingdom

We’re seeking a highly skilled AI Engineer.  Our client within the technology space is offering innovative projects that solve real-world problems with AI. This role will provide opportunities to work with cutting-edge technologies and deliver impactful AI solutions.

Key Responsibilities:

• Develop, train, and deploy machine learning (ML)  and deep learning  models to solve industry-specific challenges.
• Design scalable data pipelines  and preprocess datasets for training and inference.
• Collaborate with cross-functional teams to integrate AI models into existing systems.
• Research and implement state-of-the-art algorithms for areas like NLP, computer vision, predictive analytics, and generative AI.
• Conduct error analysis  and improve models to address bias, fairness, and explainability.
• Document technical processes and results, ensuring knowledge sharing within teams.

What We’re Looking For:

Technical Skills:

• Proficiency in programming languages like Python , R , or Java .
• Hands-on experience with AI frameworks such as TensorFlow , PyTorch , or scikit-learn .
• Strong knowledge of data preprocessing , feature engineering , and model evaluation metrics .
• Expertise in at least one domain:
• Natural Language Processing (NLP)
• Computer Vision
• Reinforcement Learning
• Generative AI (e.g., GPT, Stable Diffusion)
• Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) for model deployment.
• Strong grasp of mathematics and statistics  (e.g., linear algebra, probability, optimization).

Soft Skills:

• Ability to explain complex AI concepts to non-technical stakeholders.
• Strong problem-solving and critical-thinking skills.
• Passion for continuous learning and staying updated with the latest AI trends.

Requirements

Preferred Qualifications:

• Bachelor's or Master’s degree in Computer Science , Artificial Intelligence , Data Science , or a related field.
• Industry certifications in AI/ML (e.g., AWS AI/ML Certification , Coursera AI Specializations ).
• Previous experience in sectors like healthcare, finance, retail, or autonomous systems is a plus.

Benefits

• Exposure to international markets and the opportunity to work with a diverse team
• Flexible remote working arrangements
• Innovative environment

At Substance, we’re all about action, not just talk. If your profile aligns with what we need, you’ll hear from us within 1-2 weeks. If not, no fluff—just know we value your interest and will keep you in mind for future roles where your skills can make an impact. We focus on real connections and meaningful matches, so when the right opportunity comes, we’ll be ready to make it happen.

Getsubstance.co Pte. Ltd. | EA License No: 24C2398

Our client, a pioneering force in AI research and development, is seeking a distinguished Senior AI Ethics Researcher to join their dedicated team in Nottingham, Nottinghamshire, UK . This critical role focuses on embedding ethical considerations and principles into the entire lifecycle of artificial intelligence systems. You will lead initiatives to identify, assess, and mitigate potential ethical risks associated with AI technologies, ensuring that our client's innovations are developed responsibly and align with societal values. Your work will involve in-depth research, policy development, and collaboration with engineering and product teams to translate ethical frameworks into practical guidelines and safeguards.
Responsibilities:

• Conduct cutting-edge research on AI ethics, bias, fairness, transparency, and accountability.
• Develop and implement frameworks, policies, and best practices for responsible AI development and deployment.
• Collaborate closely with AI/ML engineers, data scientists, and product managers to integrate ethical considerations into system design and implementation.
• Perform ethical risk assessments for new and existing AI systems.
• Advise on regulatory compliance and industry standards related to AI ethics.
• Contribute to public discourse and thought leadership on AI ethics through publications, presentations, and workshops.
• Develop training materials and conduct workshops for internal teams on AI ethics principles.
• Monitor evolving societal and technological trends to anticipate future ethical challenges in AI.
• Engage with external stakeholders, including academics, policymakers, and civil society organisations.

Qualifications:

• Advanced degree (PhD preferred) in Computer Science, Philosophy, Law, Social Sciences, or a related field with a specialization in AI ethics or responsible AI.
• Demonstrated experience in conducting research and publishing in the field of AI ethics.
• Strong understanding of AI/ML technologies and their societal implications.
• Excellent analytical, critical thinking, and problem-solving skills.
• Proven ability to translate complex ethical concepts into actionable guidelines.
• Exceptional written and verbal communication skills.
• Experience in policy development or ethical review processes is a plus.
• Ability to work effectively in a multidisciplinary and fast-paced research environment.

This position offers a unique opportunity to shape the future of AI by ensuring its development is guided by strong ethical principles. Join a team that is at the forefront of innovation and committed to making a positive impact.

Our client, an innovative technology firm at the forefront of Artificial Intelligence research and development, is seeking enthusiastic Graduate Software Engineers to join their dynamic team. This internship offers a unique opportunity to gain hands-on experience in AI development, working on cutting-edge projects in a supportive and collaborative environment. While the company has offices in **Aberdeen, Scotland, UK**, this internship is designed to be fully remote, providing flexibility for talented individuals to contribute from anywhere. You will work closely with experienced engineers and researchers, contributing to the design, development, and testing of AI algorithms and applications.

Responsibilities:

• Assist in the design, coding, and implementation of AI models and algorithms.
• Support the development and testing of AI-powered software applications.
• Collaborate with senior engineers and researchers on research and development projects.
• Write clean, efficient, and well-documented code.
• Participate in code reviews and contribute to team discussions.
• Analyze data and assist in the training and evaluation of AI models.
• Contribute to the documentation of software designs and processes.
• Learn and apply new technologies and methodologies in AI and machine learning.
• Assist in the integration of AI components into existing systems.
• Troubleshoot and debug software issues.

Qualifications:

• Recent graduate with a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
• Strong foundation in programming languages such as Python, Java, or C++.
• Understanding of AI concepts, machine learning principles, and data structures.
• Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork abilities, suitable for remote collaboration.
• Eagerness to learn and adapt to new technologies.
• Self-motivated with the ability to work independently and manage time effectively.
• A keen interest in Artificial Intelligence and its applications.

This is an exceptional starting point for a career in AI, offering invaluable experience and mentorship. Join a forward-thinking team and contribute to the future of technology, all within a flexible, remote internship.

Are you a recent graduate with a passion for artificial intelligence and a knack for coding? Our client, a cutting-edge technology firm at the forefront of AI innovation, is offering an exciting fully remote Graduate Software Engineer internship based in **Newcastle upon Tyne, Tyne and Wear, UK**. This is an unparalleled opportunity to gain hands-on experience in developing and implementing sophisticated AI algorithms and machine learning models. You will work alongside a team of world-class AI researchers and engineers, contributing to real-world projects that are shaping the future of technology. This role is designed for ambitious individuals eager to learn, grow, and make a tangible impact in a dynamic, collaborative, and completely remote setting.

Your Responsibilities will include:

• Assisting in the design, development, and testing of AI and machine learning models.
• Writing clean, efficient, and well-documented code in languages such as Python, Java, or C++.
• Collaborating with senior engineers to implement AI solutions for various applications.
• Participating in code reviews and contributing to the improvement of software development processes.
• Researching and evaluating new AI technologies and frameworks.
• Analyzing and processing large datasets to train machine learning models.
• Contributing to the documentation of AI algorithms and software components.
• Working effectively within a distributed team using agile methodologies and remote collaboration tools.
• Learning and applying best practices in software engineering and AI development.
• Presenting findings and project progress to the team.

What we are looking for:

• A recent graduate (or soon-to-be graduate) with a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
• Strong programming skills in at least one object-oriented programming language (e.g., Python, Java, C++).
• Familiarity with AI/ML concepts, algorithms, and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• A solid understanding of data structures, algorithms, and software development principles.
• Excellent problem-solving abilities and a keen analytical mindset.
• Strong written and verbal communication skills, essential for remote collaboration.
• Proactive attitude, eagerness to learn, and ability to work independently in a remote environment.
• Experience with version control systems (e.g., Git) is a plus.
• Familiarity with cloud platforms (AWS, Azure, GCP) is advantageous.

This internship offers a fantastic stepping stone into the exciting world of AI development. You'll be part of a forward-thinking company that invests in its talent, providing mentorship and exposure to state-of-the-art technologies. The fully remote nature of this internship allows you to gain invaluable experience from anywhere in the UK, contributing to impactful projects while developing your skills in a supportive virtual environment.

AI (artificial intelligence) DevOps Engineer Azure Kubernetes Service (AKS),

Brilliant new opportunity for a AI DevOps Engineer with expertise in Azure Kubernetes Service (AKS), Helm, and KEDA to join a thriving STEM business who are heavily investigating in their AI (artificial intelligence) Platform including build a best in class AI (artificial intelligence) Platform with custom build of everything

Role details

• Title : AI (artificial intelligence) DevOps Engineer
• Location: can be based in either Glasgow or London City, 1 or 2 days a week in the office and home working hybrid
• Permanent role- salary 70,000- 90,000

About the job

An exciting opportunity for a talented AI DevOps Engineer, you will focused on looking at areas where AI can add improvements, as everything is being custom built rather than off the shelf

As an AI DevOps Engineer, you will be responsible for building and managing scalable, secure infrastructure for our multi-agent AI orchestration platform. This is an opportunity to join a high functioning relaxed team that will significantly contribute to the digital transformation

We do have other artificial intelligence roles in the team including AI (artificial intelligence) test Engineer roles, so please do send through a CV still if that is more in line with your expectations

What are the key expectations of this role?

• This role involves working across multiple Azure regions (UK South, Sweden Central, East US) to ensure high availability, secure deployments, and efficient agent orchestration using AKS.

• You will create and maintain CI/CD pipelines for Azure services, Semantic Kernel agents, manage Kubernetes clusters, and integrate observability tools to monitor system health and performance.

• You'll also ensure alignment with enterprise-grade security practices, including zero trust principles, identity-aware routing, and integration with Azure API Management and Application Gateway.

Skills, Knowledge & Experience

• Expertise in Azure Kubernetes Service (AKS), Helm, and KEDA
• Infrastructure-as-code using Bicep or ARM templates
• Hands-on experience with CI/CD pipelines (e.g., Bitbucket, Azure DevOps)
• API Gateway, Azure API Management (APIM), Azure Application Gateway
• Monitoring tools such as Prometheus, Grafana, and Azure Monitor
• Understanding of secure multi-region deployments and network segmentation

Remote Working

Expected to be in the office 1 to 2 days a week. With additional days depending on activity (e.g. a design workshop)

This is a brilliant opportunity for a talented AI DevOps Engineer to join this business as they are genuinely growing and developing for a world class artificial intelligence AI Platform

To find out more about Huxley, please visit (url removed)

Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales

Our client, a rapidly growing technology firm, is seeking a seasoned Lead Technical Project Manager to drive complex AI development projects from inception to successful delivery. This high-impact role, based in our vibrant Bristol, South West England, UK office, requires a strategic thinker with a deep understanding of agile methodologies and a proven ability to manage cross-functional teams in a fast-paced environment. You will be instrumental in defining project scope, objectives, and deliverables, ensuring alignment with business goals and technological innovation. Your expertise will guide the planning, execution, and monitoring of multiple concurrent projects, focusing on artificial intelligence, machine learning, and data science initiatives.

Key Responsibilities:

• Lead the planning, execution, and delivery of sophisticated AI and machine learning projects.
• Define project scope, goals, and deliverables that support business objectives, in collaboration with senior management and stakeholders.
• Develop detailed project plans, including timelines, resource allocation, and budget management.
• Manage and motivate cross-functional project teams, fostering a collaborative and high-performance culture.
• Implement and oversee agile project management methodologies, ensuring iterative development and continuous improvement.
• Identify, assess, and mitigate project risks and dependencies.
• Facilitate effective communication among project stakeholders, including technical teams, product owners, and executive leadership.
• Track project progress, milestones, and key performance indicators (KPIs), reporting regularly to senior management.
• Ensure the quality and integrity of project deliverables, adhering to industry best practices and company standards.
• Manage vendor relationships and third-party integrations as required.

The ideal candidate will possess a minimum of 7 years of experience in project management, with at least 3 years specifically focused on technical projects, particularly in AI, machine learning, or data science. A strong understanding of software development lifecycles and various project management frameworks (Agile, Scrum, Waterfall) is essential. Excellent leadership, communication, and interpersonal skills are paramount, enabling you to effectively manage diverse teams and influence stakeholders at all levels. PMP, Prince2, or Agile certifications are highly desirable. Experience with project management tools such as Jira, Confluence, or Asana is expected. You should have a Bachelor's degree in Computer Science, Engineering, Business, or a related field. This role requires a strong analytical mindset and the ability to solve complex problems under pressure, working from our office located in Bristol, South West England, UK .

Senior AI Engineer - Generative AI and Search - Artificial Intelligence





Location





London





Business Area





Engineering and CTO





Ref #










**Description & Requirements**



Bloombergu2019s Engineering AI department has 350+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.



At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.



Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.



We are looking for Senior AI Engineers with expertise and a passion for Information Retrieval, Search technologies, Natural Language Processing and Generative AI to join our AI Experiences team. Our teams are working on exciting initiatives such as:


Developing and deploying robust Retrieval-Augmented Generation (RAG) systems, curating high-quality data for model training and evaluation, and building evaluation frameworks to enable rapid iteration and continuous improvement based on real-world user interactions.
Designing and implementing tools that enable LLM-powered search agents to effectively handle complex client queries, shaping Bloomberg's generative AI ecosystem, and scaling these innovative solutions to support thousands of users.
Leveraging both traditional ML approaches and Generative AI to prototype, build, and maintain high-performing, client-facing search and streaming applications that deliver timely and relevant financial insights.
Building robust APIs to facilitate search across diverse collections of data, ensuring highly relevant results and maintaining system stability and reliability.



You'll have the opportunity to:


Collaborate closely with cross-functional teams, including product managers and engineers, to integrate AI solutions into client facing products , enhance analytical capabilities and improve user experience.
Architect, develop, and deploy production-quality search systems powered by LLMs, emphasizing both ML innovation and solid software engineering practices.
Continuously identify areas for improvement within our search systems, proactively experiment with new ideas, and rapidly implement promising solutionsu2014even when improvements rely purely on engineering without direct ML involvement.
Design, train, test, and iterate on models and algorithms while taking ownership of the entire lifecycle, from idea inception to robust deployment and operationalization.
Stay at the forefront of research in IR, NLP, and Generative AI, incorporating relevant innovations into practical, impactful solutions.
Represent Bloomberg at industry events, scientific conferences, and within open-source communities.



Youu2019ll need to have:


Proven practical experience solving real-world problems using NLP, Information Retrieval, Search technologies, and Generative AI technologies. Knowledge of search platforms like Apache Solr or Elasticsearch is a plus.
Significant industry experience or a relevant academic background (such as an MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or Engineering). We value practical ability and a demonstrated track record of delivering impactful results over formal academic qualifications.
Proficiency in enterprise-grade software engineering practices and principles, including solid fundamentals in data structures, algorithms, and a data-driven problem-solving approach.
Solid communication skills, with the ability to collaborate effectively with both technical peers and business stakeholders to ensure alignment between technical solutions and client needs.

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Senior AI Engineer - Generative AI and Search - Artificial Intelligence





Location





London





Business Area





Engineering and CTO





Ref #










**Description & Requirements**



Bloombergu2019s Engineering AI department has 350+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.



At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.



Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.



We are looking for Senior AI Engineers with expertise and a passion for Information Retrieval, Search technologies, Natural Language Processing and Generative AI to join our AI Experiences team. Our teams are working on exciting initiatives such as:


Developing and deploying robust Retrieval-Augmented Generation (RAG) systems, curating high-quality data for model training and evaluation, and building evaluation frameworks to enable rapid iteration and continuous improvement based on real-world user interactions.
Designing and implementing tools that enable LLM-powered search agents to effectively handle complex client queries, shaping Bloomberg's generative AI ecosystem, and scaling these innovative solutions to support thousands of users.
Leveraging both traditional ML approaches and Generative AI to prototype, build, and maintain high-performing, client-facing search and streaming applications that deliver timely and relevant financial insights.
Building robust APIs to facilitate search across diverse collections of data, ensuring highly relevant results and maintaining system stability and reliability.



You'll have the opportunity to:


Collaborate closely with cross-functional teams, including product managers and engineers, to integrate AI solutions into client facing products , enhance analytical capabilities and improve user experience.
Architect, develop, and deploy production-quality search systems powered by LLMs, emphasizing both ML innovation and solid software engineering practices.
Continuously identify areas for improvement within our search systems, proactively experiment with new ideas, and rapidly implement promising solutionsu2014even when improvements rely purely on engineering without direct ML involvement.
Design, train, test, and iterate on models and algorithms while taking ownership of the entire lifecycle, from idea inception to robust deployment and operationalization.
Stay at the forefront of research in IR, NLP, and Generative AI, incorporating relevant innovations into practical, impactful solutions.
Represent Bloomberg at industry events, scientific conferences, and within open-source communities.



Youu2019ll need to have:


Proven practical experience solving real-world problems using NLP, Information Retrieval, Search technologies, and Generative AI technologies. Knowledge of search platforms like Apache Solr or Elasticsearch is a plus.
Significant industry experience or a relevant academic background (such as an MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or Engineering). We value practical ability and a demonstrated track record of delivering impactful results over formal academic qualifications.
Proficiency in enterprise-grade software engineering practices and principles, including solid fundamentals in data structures, algorithms, and a data-driven problem-solving approach.
Solid communication skills, with the ability to collaborate effectively with both technical peers and business stakeholders to ensure alignment between technical solutions and client needs.

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Senior AI Engineer - Generative AI and Search - Artificial Intelligence
Location
London
Business Area
Engineering and CTO
Ref #

**Description & Requirements**
Bloomberg's Engineering AI department has 350+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.
At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
We are looking for Senior AI Engineers with expertise and a passion for Information Retrieval, Search technologies, Natural Language Processing and Generative AI to join our AI Experiences team. Our teams are working on exciting initiatives such as:
+ Developing and deploying robust Retrieval-Augmented Generation (RAG) systems, curating high-quality data for model training and evaluation, and building evaluation frameworks to enable rapid iteration and continuous improvement based on real-world user interactions.
+ Designing and implementing tools that enable LLM-powered search agents to effectively handle complex client queries, shaping Bloomberg's generative AI ecosystem, and scaling these innovative solutions to support thousands of users.
+ Leveraging both traditional ML approaches and Generative AI to prototype, build, and maintain high-performing, client-facing search and streaming applications that deliver timely and relevant financial insights.
+ Building robust APIs to facilitate search across diverse collections of data, ensuring highly relevant results and maintaining system stability and reliability.
You'll have the opportunity to:
+ Collaborate closely with cross-functional teams, including product managers and engineers, to integrate AI solutions into client facing products , enhance analytical capabilities and improve user experience.
+ Architect, develop, and deploy production-quality search systems powered by LLMs, emphasizing both ML innovation and solid software engineering practices.
+ Continuously identify areas for improvement within our search systems, proactively experiment with new ideas, and rapidly implement promising solutions-even when improvements rely purely on engineering without direct ML involvement.
+ Design, train, test, and iterate on models and algorithms while taking ownership of the entire lifecycle, from idea inception to robust deployment and operationalization.
+ Stay at the forefront of research in IR, NLP, and Generative AI, incorporating relevant innovations into practical, impactful solutions.
+ Represent Bloomberg at industry events, scientific conferences, and within open-source communities.
You'll need to have:
+ Proven practical experience solving real-world problems using NLP, Information Retrieval, Search technologies, and Generative AI technologies. Knowledge of search platforms like Apache Solr or Elasticsearch is a plus.
+ Significant industry experience or a relevant academic background (such as an MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or Engineering). We value practical ability and a demonstrated track record of delivering impactful results over formal academic qualifications.
+ Proficiency in enterprise-grade software engineering practices and principles, including solid fundamentals in data structures, algorithms, and a data-driven problem-solving approach.
+ Solid communication skills, with the ability to collaborate effectively with both technical peers and business stakeholders to ensure alignment between technical solutions and client needs.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email