Recherche actuelle

A leading global data consultancy is searching for an experienced Machine Learning Solutions Architect to join its growing, remote-first team. Partnering with major cloud platforms (Primarily Snowflake, AWS & Databricks), this company delivers cutting-edge services designed to solve complex data challenges for large enterprises.

What You'll Do:

* Architect and implement data science deployment solutions tailored to enterprise client needs, focusing on model inference, monitoring, retraining, and infrastructure setup.
* Collaborate with data scientists to prepare and transform data into production-ready formats.
* Build environments for model development and testing, ensuring operational readiness and maintainability.
* Design integration strategies with existing business systems to ensure scalability and long-term success.
* Lead efforts in model QA, testing, validation, and production rollout.
* Champion best practices for software development, model deployment, and infrastructure.

What You Bring:

* 6+ years of experience in roles such as ML Engineer, Software Engineer, or Data Engineer. However some kind of background in data engineering is crucial for the role
* Strong background in Python, Scala, Java, or comparable languages.
* Proficient in deploying models in real-world production environments.
* Expertise in SQL and distributed computing tools (e.g., Spark, Snowflake, Databricks).
* Familiarity with various data sources and systems (Kafka, RDBMS, cloud platforms).
* Solid grasp of cloud infrastructure and architecture (e.g., AWS, Azure, GCP).
* Experience in developing APIs or backend applications using modern frameworks.

Preferred Qualifications:

* Advanced degree in a relevant technical field.
* Hands-on experience with ML tools and frameworks such as TensorFlow, Keras, scikit-learn, or H2O.
* Experience with containerization tools like Docker or Kubernetes.
* Familiarity with model management tools (MLflow, Sagemaker, Azure ML).
* Contributions to open-source projects or relevant personal initiatives.

Benefits:

* Flexible, remote-first working model.
* Culture that values creativity, autonomy, and team collaboration.
* Competitive compensation, strong benefits, and generous PTO.
* Ongoing professional development including certification opportunities.
* Inclusive environment where diverse perspectives are welcomed and celebrated.



Equal Opportunity:
This company is committed to diversity and inclusion, offering a workplace that supports all employees regardless of background, identity, or experience. Accommodations are available for applicants with disabilities.

Technical Responsibilities

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Own the end-to-end design and rollout of AI solutions that accelerate sales forecasting, quote generation, and marketing content creation.
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Map current processes in Microsoft Dynamics 365 Business Central (BC); identify data sources, gaps, and integration points for AI.
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Architect and implement Azure-based services (Azure OpenAI Service, Cognitive Services, Azure Machine Learning, Data Factory, Synapse, Functions, Logic Apps) to ingest data, train models, and deploy scalable, secure APIs.
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Build and maintain reusable forecasting and CPQ models, prompt libraries, and generative-content templates; establish CI/CD and MLOps pipelines.
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Define and enforce AI governance: data quality standards, versioning, telemetry, bias mitigation, security, and Responsible AI compliance.
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Lead backlog grooming, sprint planning, and cross-functional collaboration with product, marketing, and IT; serve as the technical lead for adoption of AI across the organization
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Track and report performance metrics (latency, accuracy, ROI) and continuously optimize models and workflows.

Required Skills & Experience

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Successful track record of delivering data analytics / software solutions, with recent lead role(s) in production AI/ML and/or generative-AI deployments.
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Deep expertise in Azure AI stack (Azure OpenAI, Cognitive Services, Azure Machine Learning, Data Lake, Synapse, Data Factory) and in designing secure, high-availability cloud architectures.
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Hands-on knowledge of Microsoft Dynamics 365 Business Central APIs, AL extensions, and Power Platform (Power Automate, Power Apps, Copilot Studio, Dataverse).
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Strong programming background (Python, SQL) and proficiency with Git-based CI/CD, RESTful API design, and serverless/event-driven patterns.
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Proven delivery of forecasting, CPQ, or marketing-content AI solutions at enterprise scale; fluency in prompt engineering, retrieval-augmented generation, and vector databases (e.g., Azure Cosmos DB, Elastic).
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Experience standing up MLOps frameworks (MLflow, Azure ML pipelines) and monitoring for model drift, data shifts, and cost efficiency.
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Solid grasp of data governance, privacy (GDPR/CCPA), security best practices, and Responsible AI principles.
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Exceptional stakeholder-management and leadership skills; adept at evangelizing new technology and mentoring engineers in an agile environment.



This position is on-site in Dallas, specifically in the vicinity of Grapevine so candidates must be local, and willing to work onsite 5 days per week.

Data Engineer - AWS - £100,000 - Hybrid - London



Company Overview:

My client is a trusted partner for major clients across a range of data-driven industries such as banking, insurance, health-care, retail, and more! With a global presence spanning continents and tens of thousands of professionals, there is no better place to grow and advance your career. Due to their commitment and motivation to stay at the top of their industry, there is constant investment in research and development to stay ahead of trends by working with the most cutting-edge technology. My client believes their success stems from the calibre of people they employ and will do everything to support you and your development.

Role Overview:

As a Lead Data Engineer, you will lead a team of engineers for design and implementation of engineering solutions. You will leverage your hands-on experience in engineering tasks to architect and implement cutting-edge data solutions. This is an AWS focused role where you'll show expertise with tools such as Redshift, Lambda, Athena, S3 and more!

In this client-facing role, you will lead projects, acting as the technical and engagement lead. You will collaborate closely with architects and wider teams to ensure seamless project execution. Your ability to handle diverse data conversations and solve data-related issues will be key to driving success. This is an exciting opportunity to lead on specialist data projects for clients who want to stay at the frontier of Data & AI.

Requirements:

* 7+ Years Data Engineering Experience
* Experience Leading / Managing a Team
* Strong AWS Experience
* Data Modelling
* Data Architecture





Interviews ongoing don't miss your chance to secure the future of your career!



Contact me @ j.shaw-bollands@tenthrevolution.com or on 0191 338 6641.







Data Engineer, AWS, Redshift, ETL, Data Architect, Solutions Architect, AWS, Data Modelling, Model, Cloud, Snowflake, Databricks

Job Description: AI Solutions Architect



Roles and Responsibilities

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Define, design, and implement comprehensive artificial intelligence solutions aligned with business strategy.
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Strategically oversee and lead the development and evolution of the proprietary AI platform.
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Collaborate closely with business and technology teams to develop solutions that meet scalability, security, and business requirements.
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Promote the adoption of best practices, industry standards, and innovative technologies.
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Guide and advise multidisciplinary development teams, promoting best practices in software architecture.
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Stay up to date with industry trends and emerging technologies, recommending strategic integrations that enhance competitive advantage.
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Ensure robust, secure, and scalable architectures through thorough analysis and planning.



Skills and Qualifications

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Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
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Experience: Proven experience in the design and deployment of AI-based solutions in commercial environments.
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Knowledge: Strong command of artificial intelligence technologies and modern software development practices.
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Languages: C1 level of English.



Benefits

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Variable compensation
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Benefits in addition to base salary

My client is based in the London area are currently looking to recruit for an experienced AWS Databricks Data Architect to join their team. They are one of the leaders within the consulting space and are currently going through a period of growth and are looking for an experienced Data Architect to join their team. They are backed by a huge Multi National equity firm who are looking to bolster my clients financial position. They are expected to see year on year growth, which will allow them to implement and utilise the most in demand and cutting edge technology on the market right now. They have just implemented Gen AI within their organisation are looking to utilise the newest technologies on the market.

Your role will include:

Responsible for designing and implementing effective Architectural solutions around the AWS Severless Technologies (S3, Lambda, Athena, Kafka) and Databricks including Data Lake and Data Warehousing.
Assess database implementation procedures to ensure they comply with GDPR and data compliance.
Guide, influence and challenge the technology teams and stakeholders to understand the benefits, pros and cons of solution options.
Agree and set the technical direction for the data platform landscape and solutions, for the short and long term, in collaboration with delivery and engineering teams.
This is a hands on role which requires extensive exposure to cloud technologies (AWS and Azure).

The right candidate will have extensive knowledge of writing codes, building data pipelines and doing digital transformation and ingestion a certain tech suite. Extensive experience in implementing solutions around the AWS cloud environment (S3, Databricks, Athena, Glue),
In depth understanding of Workflows, Asset Bundles, SQS, EKS, Terraform,
Excellent understanding of Data Modelling & Kinesis
An understanding of SQL/database management.
Strong hands-on experience in Data Warehouse and Data Lake technologies preferably around AWS.

My client is providing access to;

Hybrid 2 days (London),
28 Days Holiday, Plus Bank Holiday
Private Medical Health
Pension Scheme
And More...

This role is an urgent requirement, there are limited interview slots left, if interested send an up to date CV to Shoaib Khan - S.Khan@TenthRevolution.com or call 0191 338 7493 for a catch up in complete confidence.

Frank Group's Data Teams offer more opportunities across the UK than any other recruiter We're the proud sponsor and supporter of SQLBits, AWS RE:Invent, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group

Senior Data Solutions Architect - London - GCP - £125,000



Company Overview:

My client is a trusted partner for major clients across a range of data-driven industries such as banking, insurance, health-care, retail, and more! With a global presence spanning continents and tens of thousands of professionals, there is no better place to grow and advance your career. Due to their commitment and motivation to stay at the top of their industry, there is constant investment in research and development to stay ahead of trends by working with the most cutting-edge technology. My client believes their success stems from the calibre of people they employ and will do everything to support you and your development.

Role Overview:

As a Data Solution Architect, you will be a Senior member of a dynamic team of architects. You will leverage your deep expertise in architecture, ranging all the way up to the enterprise level to design and manage solutions with massive scope.

In this client-facing role, you will lead projects, acting as the strategic lead within a Data Management practice. You will lead fascinating data transformation projects within the financial sphere. Your ability to handle diverse data conversations and solve data-related issues will be key to driving success. This is an exciting opportunity to work with a global team, stay ahead of industry trends, and make a significant impact with your technical leadership and innovative solutions.

Requirements:

* Strong Data Solutions Architectural experience
* Strong experience with GCP
* Data Modelling Expertise
* Pre-Sales Experience
* Enterprise Level Architecture





Interviews ongoing don't miss your chance to secure the future of your career!



Contact me @ j.shaw-bollands@tenthrevolution.com or on 0191 338 6641.







Solutions Architect, Data Architect, Technical Architect, Solution Design, Google Cloud, GCP, Banking, Pre-Sales, Consultancy

Remote Role

A leading organization at the forefront of modern data solutions is seeking a Principal Solutions Architect specializing in Machine Learning. Partnering with major cloud providers such as AWS, Azure, GCP, and Snowflake, their team helps enterprises navigate their most complex data challenges with innovative and scalable solutions.

The company fosters a vibrant culture rooted in curiosity, ownership, and mutual trust. Despite their rapid growth, they maintain an engaging, flexible environment focused on delivering excellence while supporting personal and professional development.



Key Highlights:

* Multiple-time Partner of the Year with top cloud platforms
* 600+ advanced cloud certifications (AWS, Azure, Snowflake, and more)
* Recognized as a best place to work across multiple regions



Role Overview: In this role, you will lead the architecture and delivery of advanced AI/ML solutions, while simultaneously cultivating client relationships and uncovering new growth opportunities. This position demands a rare blend of technical leadership, client advocacy, and strategic thinking.



Primary Responsibilities:

Technical Leadership & Delivery:

* Design end-to-end AI/ML solutions ensuring scalability, robustness, and business alignment
* Lead teams of engineers and data scientists to build sophisticated ML platforms, pipelines, and products
* Articulate the business impact and ROI of machine learning initiatives to diverse audiences
* Mentor team members on emerging best practices and industry standards
* Stay current on evolving AI/ML tools and methodologies to shape future solutions

Client Engagement & Account Development:

* Forge strong client relationships to understand their AI/ML vision and translate it into actionable roadmaps
* Present compelling technical strategies that drive client adoption and success
* Identify opportunities for additional client value through expanded AI/ML solutions
* Lead responses to RFIs and RFPs, emphasizing innovative and results-driven approaches



Required Qualifications:

* Extensife experience in AI/ML architecture, software engineering, or data science
* Significant leadership experience in a consulting environment
* Bachelor's degree in Computer Science, Engineering, or related field
* Strong expertise deploying machine learning models in production environments
* Demonstrated success in account growth, solution pre-sales, and proposal development
* Deep knowledge of AI/ML ecosystems (AWS, GCP, Azure, Databricks, Vertex AI, SageMaker)
* Proficient in Python, Scala, Java, or other modern programming languages
* Experience with building scalable data pipelines and API/web server development
* Full software development lifecycle experience



Preferred Skills:

* Master's degree or other advanced qualifications
* Contributions to open-source AI/ML projects
* Familiarity with ML libraries (TensorFlow, Keras, scikit-learn, h2o, etc.)
* Experience with Docker, Kubernetes, MLflow, and Sagemaker/Azure ML



Benefits:

* Remote-first work environment
* Award-winning, collaborative culture emphasizing creativity and autonomy
* Competitive compensation and benefits, including 4 weeks PTO plus holidays
* Ongoing investment in advanced training and professional certifications



Those interested should apply to this advertisement with their resume & contact details. Candidates are being shortlisted this week.