cover image
Blockchain Council

AI Engineer

Remote

London, United Kingdom

Full Time

26-03-2025

Job Specifications

Designation: Artificial Intelligence Software Engineer

Experience Level: 3-7 Years in AI & ML

Responsibilities

Your primary responsibility will be researching, conceptualizing, and creating learning material and educational content related to Artificial Intelligence and Machine Learning.
Conduct LIVE Training sessions for AI & ML space.
Brainstorm and help evaluate applications for new tools and technologies as they continually evolve.
Be involved proactively in the global communities supported by the company
Guide new team members in up-skilling

Skills

Bachelor’s degree in computer science, data science, or a related field.
Minimum of 3 years of hands-on experience in AI & ML.
Proficiency in Generative AI tools like ChatGPT, Gemini etc
Deep understanding of machine learning algorithms and natural language processing.
Software development background and exposure of open-source projects
Proficiency in one of the programming languages used in AIML, such as Python, R, or Julia.
Knowledge of AI & ML ethics and responsible AI practices.
Familiarity with AI & ML platforms - PyTorch, TensorFlow, AWS Sagemaker, Google Cloud AI Platform, Scikit- learn, etc.
Contribution in any AIML Research projects or any initiative.
Exceptional verbal and written communication skills in the English Language.
Benefits

Attractive salaries
Semi-flexible schedule
Medical Insurance & Accidental Insurance
5 days a week work

About the Company

Blockchain Council is a collective of forward-thinking Blockchain and Deep Tech enthusiasts dedicated to advancing the research, development, and practical applications of Blockchain, AI, and Web3 technologies. Our mission is to foster a collaborative environment where experts from diverse disciplines share their knowledge and promote varied use cases for a technologically advanced world. As a private de-facto organization of experts and enthusiasts, we champion awareness and education, empowering businesses, developers, and... Know more

Related Jobs

Company background Company brand
Company Name
SR2 | Socially Responsible Recruitment | Certified B Corporation™
Job Title
Staff AI/ML Engineer
Job Description
Staff AI/ML Engineer Location: London (2 days a week in the office) Employment Type: Full-time About the Company: A fast-growing, innovation-led software business delivering specialised tools for professionals in the built environment sector. With two decades of success and a strong global customer base, their vision is to enable better visual storytelling through smart, scalable technology. Backed by a leading private equity firm, they’re expanding rapidly and investing in cutting-edge AI and ML capabilities to take the platform to the next level. The Role: This is an opportunity for an experienced and technically hands-on Staff Software Engineer – AI/ML to take a leading role in defining, building, and scaling their AI and machine learning capabilities. This is a foundational role that combines technical leadership, strategic thinking, and day-to-day development. You’ll architect and build reliable and scalable AI/ML systems, laying the groundwork for a new, dedicated team focused on intelligent product capabilities. With a focus on applied machine learning, generative AI, and cloud-native tools, this is an opportunity to shape the future of the product and how they use data to solve real-world challenges. What You'll Be Doing: AI/ML Project Ownership Lead the delivery of machine learning initiatives from exploration through to deployment and monitoring. Own the full development cycle for ML systems — including architecture, data pipelines, model training, and production deployment. Cross-functional Collaboration Work closely with Product, Engineering, and DevOps teams to embed intelligent features into our platform. Ensure smooth end-to-end integration of AI/ML functionality within broader product development efforts. Technical Leadership Define best practices for MLOps, model deployment, and performance tuning. Evaluate and implement new frameworks, tools, and cloud-native AI solutions (including LLMs). Make strategic technical decisions that align with broader business goals. Mentoring & Knowledge Sharing Support the growth of others through coaching, peer programming, and technical reviews. Share learnings and help foster a culture of innovation and experimentation. Problem Solving at Scale Tackle challenges related to data quality, interpretability, bias, and reliability. Build processes and infrastructure that make AI/ML workflows efficient, robust, and repeatable. Documentation & Continuous Improvement Contribute to internal documentation and knowledge sharing resources. Refine and evolve ML playbooks and processes to support a growing team and evolving product needs. Requirements: 7+ years of hands-on experience in AI/ML, including production-level deployment. 3+ years in a senior or lead technical position, ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid understanding of large-scale data pipelines, distributed systems, and microservice architectures. Comfortable working with LLMs, model fine-tuning, and building features powered by generative AI. Experience setting up CI/CD pipelines for ML workflows and maintaining scalable systems in the cloud. A proven track record of mentoring peers and leading by example. Strong communication and stakeholder engagement skills. A degree in Computer Science, Engineering, Data Science, or a similar field. Tech Stack Highlights Python Java AWS (including Bedrock) Claude Terraform Docker MySQL GitHub & GitHub Actions Perks and Benefits Competitive salary package 25 days holiday (Not including bank holidays) Flexible remote working Parental leave support Work-from-anywhere for up to 5 days a year “Getting Started” remote work budget Pension scheme And more Important Notes Unfortunately, we are not able to offer visa sponsorship for this role. Applications should be based in the UK.
London, United Kingdom
Hybrid
Full Time
07-04-2025
Company background Company brand
Company Name
Ekimetrics
Job Title
Lead Solutions Data Architect, Data Engineering
Job Description
London – Lead Solutions Data Architect, Data Engineering Ekimetrics UK Job Description About Ekimetrics Ekimetrics is a leader in data science and AI, specialising in Marketing Effectiveness, Customer Analytics and business optimisation since 2006. Weve pioneered the use of AI to drive sustainable growth, helping companies across industries like retail, banking, luxury fashion, insurance and many more to maximise their data potential. Our goal: Combine high-impact AI and data science solutions for sustainable business performance. Our approach combines cutting-edge technology with a deep understanding of business challenges, ensuring that our solutions not only meet current needs but also pave the way for future innovations. At Ekimetrics, your work will directly contribute to shaping the future of data-driven decision-making in a sustainable, ethical manner. Key figures about Ekimetrics 500+ data science experts globally 1000+ diverse projects for more than 350+ clients 5 offices: Paris, Hong Kong, London, New York & Shanghai UK Data company of the year 2023 Microsoft’s sustainability partner Voted as a leader in “Marketing Measurement and Optimization” by Forrester wave 2023 About The Role Based in London and reporting to our Head of Data engineering you will lead on large scale digital transformations, building bespoke analytics solutions to answer clients’ key questions, develop solutions to answer clients key questions around Geni Ai and consult on the findings, including high-profile presentations to our clients senior execs. Overview Job Responsibilities Data Architecture Lead assessments, strategies, and architecture recommendations Own the full cycle of the industrialization of data projects, from advisory to audit and review activities, with customers interactions ranging from technical teams to CIOs Be responsible for the data engineering code organization as well as data modelling approaches. The Data Architect will contribute to these topics with the other Lead Data Engineers (Governance, DevOps, etc.) Present actionable and easy-to-understand recommendations to drive high levels of adoption within client organizations as well as Ekimetrics business (project) leadership Acting internally as an innovator and technical lead: we are continuously building engineered and enriched technical custom solutions for our clients People & Development Be an HR mentor responsible for contributing to the development of more junior team members, including upskilling them on software development. Share projects and practices within the team and more generally within Ekimetrics, and be an ambassador one of our values: Transmission Work in small teams, leading and coaching of anywhere from 2-10 Data science consultants or Data engineers. Business Management & Consulting Design and scope new projects, using the right analyses to answer client questions Participate in pre-sales of Ekimetrics projects, Deliver with excellence – ensure high client satisfaction and make sure that issues are raised and resolved in a timely manner with no surprises Ensure client's business case is achievable and Ekimetrics has the appropriate ability to influence promised outcomes Drive high client value and broaden relationships at the most senior levels with current and prospective clients and translate this into new business opportunities for Ekimetrics. Our Tech stack + more… Cloud: Azure, sometimes GCP & AWS Data Platform: Databricks, Snowflake, BigQuery Data Engineering tools: Pyspark, polars, duckdb, malloy, SQL Infrastructure-as-code: Terraform, Pulumi Data Management and Orchestration: Airflow, dbt Databases and Data Warehouses: SQL Server, PostgreSQL, MongoDB, qdrant, Pinecone GenAI: OpenAI APIs, HuggingFace, langchain, Talk-to-data Monitoring:Datadog About You We are looking for someone who is able to wear 2 hats – the data architect and the strategic business consultant – so you’ll need to show both advanced technical acumen and a strong interest in business strategy. Requirements A Degree in a quantitative discipline such as computer science, Engineering, statistics, or applied mathematics from a leading academic institution is preferred. 8+ years of experience in solution development such as: Data Analysis, Data Architecture, Data Warehouses (DWH), or Data Lakes in a business setting, preferably in a client-facing, consulting-oriented role. Passion for data with extensive knowledge and experience in Machine Learning techniques. Expertise in key technologies related to Data Management: Proficiency in Python is required; knowledge of SQL and Spark is a plus. Experience with Cloud platforms, specifically Azure and Databricks. In-depth knowledge and experience in Data Analytics Architecture. Understanding of Data Governance processes and platforms. Experience with Data Ingestion and Transformation in data warehouses or data lakes. Proficiency in Data Visualization tools and techniques (e.g., Tableau, Power BI, etc.). Professional certifications in data-related fields e.g., Azure Data are a plus. Transversal Skills People are at the centre of who we are at Ekimetrics, so as well as excellent technical skills, it’s important that you also have the following: Excellent communication skills – especially translating complex technical findings into insights and stories for stakeholders (internal and external) A demonstrated ability to develop new and long-lasting client relationships at senior levels across multiple industries and sectors; An ability to work autonomously and be self-motivated; A team-oriented and collaborative working style, both with clients and within Ekimetrics; People management experience and demonstrated ability to develop younger talent and build a high performing team, (this doesn’t necessarily mean you have directly managed a team; this could relate to mentorship, project team management, etc.); Experience with project management and familiarity with Agile methodologies is preferred. A passion for joining a small team and desire to help the business grow quickly. Working for Eki Working for Ekimetrics is a lot of fun! We have clients across multiple industries and are constantly looking to innovate and explore new ways of doing things. Our London team consists of ~80 people and are predominantly Data Science Consultants. We come from all over the world, have varied experiences and passions, and all contribute value to Ekimetrics’ success. We encourage continuous self-development and thought leadership throughout Ekimetrics and foster a culture of transmission and pleasure – we love what we do, and we want to share it! As well as an opportunity to join a driven, energetic, and highly innovative team, we also offer the following: Competitive Salary + Bonus Scheme Hybrid working (2 days a week in the office) Work remote anywhere up to 20 days a year 25 days annual leave (+ Bank Holidays and additional days for tenure) Private healthcare, life...
London, United Kingdom
Hybrid
Full Time
06-04-2025
Company background Company brand
Company Name
CreateFuture
Job Title
Senior Data Engineer
Job Description
Who We Are CreateFuture is fast becoming the UK’s most recognisable digital consultancy, with years of experience building digital products and services for major organisations whilst putting our people first. We have offices in the centre of Edinburgh, Leeds, Manchester, and London as well as remote employees located throughout the country. We are a team of creators - whether that’s code, project plans, go to market strategies, culture initiatives, marketing campaigns, large language models or people policies. And together, with our clients, we create the future. This has seen us collaborate and partner across a multitude of industries and sectors, with the likes of PayPal, adidas, Natwest, FanDuel and Money Saving Expert, to name just a few. Our reputation as a partner determined to deliver high-quality, robust and thoughtful products has enabled us to scale to over 500 people in the last couple of years, and it is our amazing people - along with the safe, supportive and friendly culture we have built - that makes CreateFuture a great place to work. Don’t just take our word for it though, we have been recognised by Best Workplaces UK multiple years in a row - across a number of categories - and our employee exit rate is astonishingly low. Join us on our journey… Let’s create something awesome, together, today. About The Role And Team We’re looking for a Data Engineer to join our growing Data Practice. You’ll work as part of a multidisciplinary team delivering data solutions for some of the UK’s best-known brands. You’ll have a hand in everything from data ingestion and transformation to pipeline automation and data platform optimisation – always with a strong focus on quality, scalability, and value. What You'll Be Doing Designing, building and maintaining robust, cloud-native data pipelines Automating and orchestrating workflows using tools like AWS Glue, Azure Data Factory, or Google Cloud Dataflow Working with platform services such as Amazon S3, Azure Synapse, Google BigQuery, and Snowflake Implementing Lakehouse architectures using tools like Databricks or Snowflake Collaborating closely with engineers, analysts, and client teams to deliver value-focused data solutions We'd Love To Talk To You If You’ve got solid experience working with Python, SQL, Spar and data pipeline tools such as dbt or Airflow You’re comfortable working across cloud platforms – especially AWS (Glue, Lambda, Athena), Azure (Data Factory, Synapse), or GCP (Dataflow, BigQuery, Cloud Composer) You have a good understanding of data modelling, data warehousing and performance optimisation You care deeply about data quality, testing, and documentation You enjoy solving real-world problems and collaborating with cross-functional teams You’re comfortable in a consultancy setting, balancing hands-on delivery with client engagement What We'll Offer You At CreateFuture, we challenge ourselves to go beyond the obvious and we care deeply about our craft and customers. With us, you’ll have ambitious projects to sink your teeth into and plenty of opportunities to learn and grow. You’ll be part of our safe, supportive and friendly culture - that looks after you - and join our team of genuinely great people. Our Benefits Include Total 35 days holiday (we have flexible bank holidays) Comprehensive private medical insurance Enhanced parental and adoption leave Pension - matched up to 5% View our complete list of benefits here. As this is a hybrid role, we’re looking for people within a commuting distance of our hub locations (Edinburgh/Leeds/Manchester/London) and who are flexible to travel to client sites and CreateFuture regional offices. We are very flexible and trust you to manage your own schedule to balance face-to-face time with clients, colleagues and working from home. We create and reinforce a culture that rewards employees’ impact, not just activity. We trust our employees to work autonomously and promote ownership across all levels. Next Steps Our Talent team aims to respond to all applications within a reasonable timeframe, regardless of whether or not we progress your application. Our Interview Process 30-minute call with one of our Talent Acquisition Team. 1-hour competency-based interview Take Home Task & Review 60-minute values-led interview. Our interview process is designed as an opportunity both for our interviewers to learn about your expertise, interests and motivations and for you to gain insights into the role, team and business as a whole, so throughout the process, you’ll meet a few people from our team as well as others from across the business to help you get a well-rounded view of the role and life at CreateFuture. We believe that representative teams made up of people with different backgrounds, skills, and points of view help us build the best workplace possible, and enable us to create genuinely innovative, broadly useful products.
Manchester, United Kingdom
On site
Full Time
07-04-2025
Company background Company brand
Company Name
Searchability
Job Title
Data Scientist
Job Description
Data Scientist Opportunity for a Data Scientist to join an exciting Internet Marketing Agency in Liverpool Salary up to £55,000 + some fantastic benefits including hybrid working, a collaborative environment and private health insurance Apply online or contact Chelsea Hackett via Chelsea.hackett@searchability.com WHO WE ARE: We are a thriving agency in Liverpool looking to recruit a Data Scientist to join our growing data function. With over 20 years of business under our belt we are a market leader within the industry and have a customer-centric approach, aiming to deliver high-quality service and build lasting relationships with our clients. OUR BENEFITS: Flexible and hybrid working Autonomous working Companywide collaborative events Performance reward and achievements Private Health Insurance Pension Contribution And more… WHAT WILL YOU BE DOING? We're looking for a data-driven innovator to play a pivotal role in shaping and optimising our marketing strategy. In this role, you'll build and refine cutting-edge Marketing Mix Models (MMM) to drive performance across channels and campaigns. You'll forecast delivery limits, costs, and revenue to enable smarter planning and more strategic budget allocation. By developing predictive and statistical models, you'll help unlock new growth opportunities and power key marketing decisions. You'll work hands-on with Python to analyse data, create scalable solutions, and automate critical processes. Using the Azure cloud platform, you'll deploy and maintain robust models and pipelines. You'll partner closely with marketing, analytics, and engineering teams to transform insights into impactful, data-driven strategies. DATA SCIENTIST - ESSENTIAL SKILLS Strong understanding of core data science methodologies, including machine learning algorithms and statistical analysis Proficient in developing end-to-end machine learning workflows using Python Passionate about collaborating with non-technical teams and fostering a culture of scientific rigor Experienced in contributing to data science projects within cross-functional teams, including close partnership with software engineers Experience on the Azure platform TO BE CONSIDERED… Please either apply by clicking online or emailing me directly chelsea.hackett@searchability.com. By applying to this role you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only.
Liverpool, United Kingdom
Hybrid
Full Time
07-04-2025