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Discover top AI/ML Engineer jobs on Haystack, your go-to IT job board for cutting-edge opportunities in artificial intelligence and machine learning. Whether you're a seasoned AI engineer or just starting your career, find the latest roles from leading tech companies, startups, and innovative enterprises. Start your search today and take the next step in your AI/ML career with Haystack!
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Senior Python Developer Azure - Scaling AI Platform. £90K. REMOTE
RecruitmentRevolution.com
Multiple locations
Fully remote
Senior
£90k
RECENTLY POSTED
python
github
kubernetes
csharp
docker
visual-studio
We re building something smart - and we re moving fast. Ready to join us?
At Neologik.ai, we’re not just another consulting company - we re a high-velocity team crafting an AI-driven platform that s reshaping how businesses operate. Built natively on Azure and powered by the latest in Microsoft tech, our solution helps companies deploy intelligent agents, automate workflows, and accelerate innovation at scale.
As demand surges for our product, we are currently hiring for a Senior Python Developer with Azure experience and a footing with AI who s ready to move at our speed.
If you’re passionate about AI, thrive in agile, fast-paced environments, and love turning bold ideas into real-world solutions, this is your moment. You ll join the core team building Neologik - a next-generation AI platform that s already helping businesses create and manage powerful automation through models, agents, and reusable templates.
Ready to build the future with us?
The Role at a Glance:
AI / Azure / Python Developer
UK Remote
Up to £90,000
Benefits include flexible remote work and an environment that values speed, quality, and autonomy.
Product / Service: Neologik is an accurate, private & efficient multipurpose automation tool for workflow and documentation.
Culture: No red tape, no endless meetings - just real business impact for clients.
Work with smart people who care about what they build and providing solutions for customers.
Pedigree: Seasoned Founding Team. Our leadership team has spent decades in technology delivery, working through the mega trends of Internet, Public Cloud and now AI.
Your Skills: Experience with Azure s native AI stack (including AI Foundry, Search, Cosmos DB, and AKS), strong Python and C# skills, VS Code (ideally with AI tools like Copilot), familiarity with Docker, Kubernetes, and scalable cloud-native architecture, and a track record of working in agile teams using Azure DevOps for CI/CD and automated testing.
Who we are:
At Neologik, we re redefining how businesses harness the power of artificial intelligence. Our cutting-edge platform helps companies quickly and cost-effectively implement AI strategies that drive real results - from automating workflows to deploying intelligent agents and managing complex AI models at scale.
We re not just building tools - we re building the foundation for smarter, faster, and more adaptable enterprises.
Key Responsibilities:
• Build and deploy AI-first features using Azure AI Foundry, Azure AI Search, Cosmos DB, Docker, and AKS
• Design and implement scalable architecture with cloud-native tools alongside a collaborative, fast-moving team
• Code primarily in Python and C# - with bonus points if you can jump into React.js when needed
• Speed up development using Visual Studio Code with GitHub Copilot (or your preferred AI coding assistant)
• Work in a tight feedback loop: branch, commit, pull, test, and ship - all through Azure DevOps
• Write clean, tested, production-ready code - unit testing is second nature, not an afterthought
• Participate in focused sprints and daily standups - we work lean, iterate fast, and learn as we go
What You ll Bring to the Team:
• Proven experience with Azure s native AI stack, including AI Foundry, Azure Search, Cosmos DB, and AKS
• Strong programming skills in Python and C#, with a focus on writing clean, maintainable, and well-structured code
• Proficiency in Visual Studio Code, ideally with tools like GitHub Copilot or other AI-assisted development extensions
• Solid understanding of Docker, Kubernetes, and modern cloud-native architectural patterns
• Hands-on experience working in agile teams, with deep familiarity in CI/CD workflows, branching strategies, pull requests, and test automation using Azure DevOps
• An agile, curious mindset - adaptable, collaborative, and eager to explore new ideas and technologies
Bonus Points For:
• Experience building user interfaces with React.js
• A passion for experimenting with emerging AI tools and frameworks
Sounds like a good fit? Apply here for a fast-track path to our Leadership Team.
Application notice We take your privacy seriously. As you might expect you may be contacted by email, text or telephone. Your data is processed by our talent partner RR (Recruitment Revolution) on the basis of their legitimate interests in fulfilling the recruitment process. Please refer to their Data Privacy Policy & Notice on their website for further details.
Deployed Engineer
Tenth Revolution Group
Multiple locations
Hybrid
Mid
£50k - £75k
RECENTLY POSTED
typescript
python
airflow
sql
pyspark
dbt
A rapidly growing company in the B2B Software as a Service (SaaS) space are looking for a Deployed Engineer to join their expanding team in London (hybrid working - 2-3 days a week in their modern office space).
Their product is a platform that acts as a digital twin of a business - integrating internal and external data from a variety of sources to act as a single source of truth, which powers actionable insights at scale. When combined with AI algorithms, the platform drives strategic decision-making, and enables planning and effective execution, allowing businesses to achieve their targeted state. They are a true pioneer in their field!
They believe the future of B2B SaaS is about delivering tailored, dynamic solutions for their clients, rather than implementing static tools. This is where you come in - you’ll be working within a team who believe value is created not just in the codebase, but in the implementation layer - making this role ideal for someone who thrives in dynamic, customer-facing environments.
The role:
Adapt and deploy a powerful data platform to solve complex business problems
Design scalable generative AI workflows using modern platforms like Palantir AIP
Execute advanced data integration using PySpark and distributed technologies
Collaborate directly with clients to understand priorities and deliver outcomes
What We’re Looking For:
Strong skills in PySpark, Python, and SQL
Ability to translate ambiguous requirements into clean, maintainable pipelines
Quick learner with a passion for new technologies
Experience in startups or top-tier consultancies is a plus
Nice to Have (not essential):
Familiarity with dashboarding tools, Typescript, and API development
Exposure to Airflow, DBT, Databricks
Experience with ERP (e.g. SAP, Oracle) and CRM systems
What’s On Offer:
Salary: 50,000- 75,000 + share options
Hybrid working: 2-3 days per week in a vibrant Soho office
A highly social culture with regular team events and activities
Work alongside seasoned tech and business leaders
Be part of a mission-driven company with a strong social impact ethos
If you’re excited by the idea of working at the intersection of AI, data, and enterprise transformation - and want to be part of a fast-scaling, values-led team - we’d love to hear from you.
Please Note: This is a role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.
Tenth Revolution Group / Nigel Frank are the go-to recruiter for Data and AI roles in the UK, offering more opportunities across the country than any other. We’re the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly.
Quantitative Analyst
Spectrum IT Recruitment
London
In office
Mid
£70k - £100k
python
sql
Quantitative Analyst required by a sports trading company based in central London. The company have been established for more than 10 years, successfully developing statistical models and analytical frameworks.
The successful Quantitative Analyst will work within the prediction team, using extensive datasets to enhance existing predictive models as well as researching new methods. The role will be working alongside a team of Quants, Developers, and Analysts.
Due to the nature of the business this is mainly an office-based role.
Experience required:
3+ years’ experience within predictive modelling, machine learning, and probability theory. Ideally this would be within sports or gaming/betting industries.
Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects models, time series forecasting etc
Strong programming ability, preferably in Python
SQL and relational databases
The company offer some great benefits including a bonus, subsidised office meals, gym membership, and private medical insurance.
If you are interested in this role, please apply or contact (url removed) / (phone number removed) for further information.
Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Data Architect - Reigate
esure Group
Reigate
Hybrid
Mid
Private salary
aws
terraform
kafka
airflow
sql
snowflake
+1
Data Architect Job Tenure: Full-time, permanentSalary: CompetitiveCompany Description
Ready to join a team that’s leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good!
We’ve been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas’ Wheels brands. With a bold dedication for digital innovation, we’re transforming the way the industry operates and putting customers at the heart of everything we do.
Having completed our recent multi-year digital transformation, we’re now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future.
Job Description
We are currently looking for a Data Architect to join our forward thinking Data department.
You’ll work in a team of data engineers, analytics engineers, data scientists and AI specialists to design and evolve scalable data platforms and modern data products that enable self-service analytics, advanced modelling, and AI-driven decision-making across our insurance business.
What you’ll do:
Design and manage scalable cloud data platforms  (Databricks on AWS) across development, staging, and production environments, ensuring reliable performance and cost efficiency.
Integrate and model data from diverse sources  – including warehouses, APIs, marketing platforms, and operational systems – using DBT, Delta Live Tables, and dimensional modelling to deliver consistent, trusted analytics.
Enable advanced AI and ML use cases  by building pipelines for vector search, retrieval-augmented generation (RAG), feature engineering, and model deployment.
Ensure security and governance  through robust access controls, including RBAC, SSO, token policies, and pseudonymisation frameworks.
Develop resilient data flows  for both batch and streaming workloads using technologies such as Kafka, Airflow, DBT, and Terraform.
Shape data strategy and standards  by contributing to architectural decisions, authoring ADRs, and participating in reviews, data councils, and platform enablement initiatives.
Qualifications
What we’d love you to bring:
Proven, hands-on expertise in data modelling, with a strong track record of designing and implementing complex dimensional models, star and snowflake schemas, and enterprise-wide canonical data models
Proficiency in converting intricate insurance business processes into scalable and user-friendly data structures that drive analytics, reporting, and scenarios powered by technology
Extensive experience designing fact and dimension tables across domains such as policy, quote, claims, pricing, and fraud, ensuring consistency and alignment with business metrics
Deep practical knowledge of semantic layer design and implementation using DBT, SQL, and Delta Live Tables
Strong background in building high-performance, scalable data models that support self-service BI and regulatory reporting requirements
Direct exposure to cloud-native data infrastructures (Databricks, Snowflake) especially in AWS environments is a plus
Experience in building and maintaining batch and streaming data pipelines using Kafka, Airflow, or Spark
Familiarity with governance frameworks, access controls (RBAC), and implementation of pseudonymisation and retention policies
Exposure to enabling GenAI and ML workloads by preparing model-ready and vector-optimised datasets
Demonstrated capability to collaborate successfully with interested parties in data engineering, analytics, architecture, and business teams
Advanced SQL skills and a keen focus on performance tuning, data integrity, and reusable compose patterns across data products
Additional Information
What’s in it for you?:
Competitive salary that reflects your skills, experience and potential.
Discretionary bonus scheme that recognises your hard work and contributions to esure’s success.
25 days annual leave, plus 8 flexible days and the ability to buy and sell further holiday.
Our flexible benefits platform is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances.
Company funded private medical insurance for qualifying colleagues.
Fantastic discounts on our insurance products! 50% off for yourself and spouse/partner and 10% off for direct family members.
We’ll elevate your career with hands-on training, mentoring, access to our exclusive academies, regular career conversations, and expert partner resources.
Driving good in the world couldn’t be more important to us. Our colleagues can use 2 volunteering days per year to support their local communities.
Join our internal networks and communities to connect, learn, and share ideas with likeminded colleagues.
We’re a proud supporter of the ABI’s ‘Make Flexible Work’ campaign and welcome you to ask about the flexibility you need. Our hybrid working approach also puts you in the driving seat of how and where you do your best work.
And much more; See a full overview of our benefits here Reward and benefits | Esure Group PLC
We are committed to creating an inclusive and diverse workplace where everyone feels valued, respected, and empowered. We celebrate individuality and create spaces where unique backgrounds and experiences can come together. We believe that diverse perspectives drive innovation, in turn enabling us to better serve our customers, community and build a stronger organisation. Our commitment to inclusion extends to every part of our business, from hiring practices to professional growth opportunities, ensuring equal access and support for all.
Lead Data Engineer - Reigate
esure Group
Reigate
Hybrid
Leader
Private salary
aws
terraform
git
python
jenkins
airflow
+2
Lead Data Engineer Job Tenure: Full-time, permanentSalary: CompetitiveCompany Description
Ready to join a team that’s leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good!
We’ve been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas’ Wheels brands. With a bold dedication for digital innovation, we’re transforming the way the industry operates and putting customers at the heart of everything we do.
Having completed our recent multi-year digital transformation, we’re now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future.
Job Description
We are currently looking for a Lead Data Engineer to join our forward thinking Data department.
You’ll work in a team of data engineers, analytics engineers, data scientists and AI specialists to design and evolve scalable data platforms and modern data products that enable self-service analytics, advanced modelling, and AI-driven decision-making across our insurance business.
What you’ll do:
Lead on data engineering projects, managing a sub- team within engineering, building out our data warehouse & pipelines
Collaborate effectively across data science, analytics, product, engineering and commercial business teams
Build and support esure’s data products within our industry leading platform
Work with product managers, data & AI engineers to deliver technical solutions for our most pressing data problems including GenAI applications
Integrate data from a variety of sources, assuring that they adhere to data quality and technical standards. Migrating legacy systems into a modern scalable platform
Creating frameworks and processes for data pipelines across the data and analytics platform
Improve data engineering processes and roll these out across our team and wider data community
Set coding standards across the platform, naming conventions across data products, championing and enforcing both.
Work with architects on best design for data products, evaluating and experimenting with new data tools & supporting ML & AI infrastructure and workflows
Qualifications
What we’d love you to bring:
Strategic thinker, aligning multiple workstreams to deliver a scalable, high-quality data platform.
Develops the data function roadmap with thought leadership on tooling, technology, and guidelines.
Product-minded leader, solving customer and business data challenges.
Culture builder, driving continuous improvement and operational excellence.
Deep expertise in data compliance frameworks, cost management, and platform optimisation.
Strong hands-on experience with modern cloud data warehouses (Databricks, Snowflake, AWS), SQL, Spark, Airflow, Terraform.
Advanced Python skills with orchestration tooling; solid experience in CI/CD (Git, Jenkins).
Proven track record in data modelling, batch/real-time integration, and large-scale data engineering.
Exposure to deploying Generative AI in production environments.
Additional Information
What’s in it for you?:
Competitive salary that reflects your skills, experience and potential.
Discretionary bonus scheme that recognises your hard work and contributions to esure’s success.
25 days annual leave, plus 8 flexible days and the ability to buy and sell further holiday.
Our flexible benefits platform is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances.
Company funded private medical insurance for qualifying colleagues.
Fantastic discounts on our insurance products! 50% off for yourself and spouse/partner and 10% off for direct family members.
We’ll elevate your career with hands-on training, mentoring, access to our exclusive academies, regular career conversations, and expert partner resources.
Driving good in the world couldn’t be more important to us. Our colleagues can use 2 volunteering days per year to support their local communities.
Join our internal networks and communities to connect, learn, and share ideas with likeminded colleagues.
We’re a proud supporter of the ABI’s ‘Make Flexible Work’ campaign and welcome you to ask about the flexibility you need. Our hybrid working approach also puts you in the driving seat of how and where you do your best work.
And much more; See a full overview of our benefits here Reward and benefits | Esure Group PLC
We are committed to creating an inclusive and diverse workplace where everyone feels valued, respected, and empowered. We celebrate individuality and create spaces where unique backgrounds and experiences can come together. We believe that diverse perspectives drive innovation, in turn enabling us to better serve our customers, community and build a stronger organisation. Our commitment to inclusion extends to every part of our business, from hiring practices to professional growth opportunities, ensuring equal access and support for all.
Data Scientist - Reigate
esure Group
Reigate
Hybrid
Mid
Private salary
aws
git
python
docker
pandas
jupyter
+2
Data Scientist Job Tenure: Full-time, permanentSalary: CompetitiveCompany Description
Ready to join a team that’s leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good!
We’ve been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas’ Wheels brands. With a bold dedication for digital innovation, we’re transforming the way the industry operates and putting customers at the heart of everything we do.
Having completed our recent multi-year digital transformation, we’re now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future.
Job Description
We are looking for a Data Scientist to join our forward-thinking Data team.
In this position, your responsibility will be to contribute to the company’s expansion by incorporating innovative data resources and sophisticated modeling techniques to elevate profitability. You will work across the full data science lifecycle – from generating ideas, through building and deploying models, to measuring impact using A/B testing.
You will gain hands-on experience with leading technology, modern architecture, and the latest applications of machine learning and generative AI in production.
What you’ll do:
Work closely with stakeholders across the business to understand and propose improvements to existing process using new data sources and advanced machine learning techniques.
Deliver projects end-to-end from scoping/R&D through to production deployment and benefit measurement.
Following and contributing to our standards for code quality, R&D, and model development practices.
Collaborate with DevOps and Data Engineers to productionise and deploy machine-learning models into our AWS cloud infrastructure.
Write production-grade code in Python, demonstrating CI/CD, Databricks and ensuring appropriate test coverage.
Qualifications
What we’d love you to bring:
You are a self-starter with experience in delivering research + models to production to drive tangible commercial benefits and improved customer experiences.
You thrive in working autonomously to drive impact in a fast-paced cross-functional business.
PhD or MSc or equivalent experience in a numerate subject: Machine Learning, Computer Science, Statistics.
Proven experience of applying, researching, and developing advanced statistical/ML methods to drive value in a commercial setting,
Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results.
Experienced in engaging with non-technical partners to scope, design and build an appropriate ML solution.
Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git.
Knowledge of OO programming, software design, i.e., SOLID principles, and testing practices.
Knowledge and working experience of AGILE methodologies.
Proficient with SQL.
Familiarity with Databricks, Spark, geospatial data/modelling
Exposure to MLOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc. are a plus.
Additional Information
What’s in it for you?:
Competitive salary that reflects your skills, experience and potential.
Discretionary bonus scheme that recognises your hard work and contributions to esure’s success.
25 days annual leave, plus 8 flexible days and the ability to buy and sell further holiday.
Our flexible benefits platform is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances.
Company funded private medical insurance for qualifying colleagues.
Fantastic discounts on our insurance products! 50% off for yourself and spouse/partner and 10% off for direct family members.
We’ll elevate your career with hands-on training, mentoring, access to our exclusive academies, regular career conversations, and expert partner resources.
Driving good in the world couldn’t be more important to us. Our colleagues can use 2 volunteering days per year to support their local communities.
Join our internal networks and communities to connect, learn, and share ideas with likeminded colleagues.
We’re a proud supporter of the ABI’s ‘Make Flexible Work’ campaign and welcome you to ask about the flexibility you need. Our hybrid working approach also puts you in the driving seat of how and where you do your best work.
And much more; See a full overview of our benefits here Reward and benefits | Esure Group PLC
We are committed to creating an inclusive and diverse workplace where everyone feels valued, respected, and empowered. We celebrate individuality and create spaces where unique backgrounds and experiences can come together. We believe that diverse perspectives drive innovation, in turn enabling us to better serve our customers, community and build a stronger organisation. Our commitment to inclusion extends to every part of our business, from hiring practices to professional growth opportunities, ensuring equal access and support for all.
AI/ML Engineer - Contract
VIQU IT
London
Hybrid
Mid
£500/day - £600/day
python
AI/ML Engineer Contract
6-Month Contract View to Extend London (Hybrid)
Morela is proud to be supporting our growing AI customer in their search for an experienced AI/ML Engineer. This role offers the chance to contribute to cutting-edge projects within a dynamic and innovative environment.
What we re looking for:
Proven experience in AI/ML model development and deployment
Strong skills with Python, TensorFlow/PyTorch, and cloud platforms (AWS/Azure/GCP)
MLOps assurance and risk experinece
Knowledge of data pipelines, model optimisation, and real-world deployments
Details:
Contract: 6 months (with view to extend)
Location: London (Hybrid)
Start: ASAP
If you re interested, please apply or reach out to the Morela team for further details.
Spotlight
Graduate Solutions Engineer
Aluma
Cambridge
Hybrid
Graduate
Private salary
TECH-AGNOSTIC ROLE
About Aluma
Aluma provides a platform for Intelligent Document Processing to help automate document-driven business workflows, which are many and varied!
We are hiring for an ambitious and highly capable graduate to join our growing team as a Solutions Engineer, working closely with Seniors and their CEO during the business’ next period of growth. This is an extremely exciting opportunity for someone looking to kick-start their career in a start-up, with full training provided and the opportunity to diversify and shape your long-term career.
It’s an exciting time for Aluma, who have a quickly-growing customer base and a set of customers who are excited about the Aluma platform. The platform has been built on very solid technical foundations over several years and the company is profitable and secure. The signing of a large new customer has provided the resources to scale the team and exploit the potential to disrupt a stagnant market with old, expensive, under-performing competitors. 👀
The Aluma team has built an exceptionally strong reputation for a platform with industry-leading performance and intuitive user experience combined with close partnerships with our customers, many of whom rely on Aluma for their businesses to run effectively and are huge advocates for the product and team.
The role
This role will involve working directly with Aluma’s clients, gathering requirements, providing solutions through configuration of the Aluma platform and where necessary providing additional utilities for integration and data manipulation.
You’ll be part of a small but growing team in Cambridge, working alongside professionals of like mind, as well as senior colleagues and Founders of Aluma!
What are we looking for in you?
Degree level qualification in a technical or scientific field.
An aptitude for learning, experimentation and data analysis.
A strong desire to work within the IT industry.
Excellent written and verbal presentation skills (the role is customer-facing, so requires regular interaction with clients via email and web meetings).
Strong logical problem-solving skills, and an eye for detail.
Some coding experience is beneficial (the role is not a coding role, but there may be requirements to implement project-specific functionality or to prototype algorithmic approaches to a specific problem).
Experience of working with LLM’s in a business context is beneficial, but not required.
A personable individual looking to jump head-first into a professional role.
Office requirements
We are in the process of opening our Cambridge office, so this role will be fully on-site for the first 2-3 months (during training period), switching to hybrid, with roughly 2-3 days in the office per week thereafter.
Due to the nature of the role, we feel in-person collaboration will help you develop and shine.
Benefits
Full, on the job training provided.
Working with a mixture of mature technologies, classical algorithms and cutting-edge AI.
Opportunity to diversify and try out different hats in a start-up environment.
Working alongside Co-founders (CTO and CEO), giving you the opportunity to learn from the best.
Potential for travel in UK and abroad.
Generous compensation and flexible working arrangements.
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Frequently asked questions

What types of AI/ML Engineer jobs are listed on this platform?
We list a wide range of AI/ML Engineer roles, including positions in machine learning research, data science, natural language processing, computer vision, deep learning, and AI infrastructure engineering.
Are the AI/ML Engineer jobs remote or on-site?
Our platform features both remote and on-site AI/ML Engineer jobs. You can filter job listings based on location preferences, including fully remote, hybrid, and specific geographic locations.
What qualifications do I need to apply for AI/ML Engineer jobs here?
Most AI/ML Engineer roles require a strong background in computer science, mathematics, and experience with machine learning frameworks like TensorFlow or PyTorch. Specific qualifications vary by job, so please check individual listings for detailed requirements.
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