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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.

Job Description:
We are seeking a highly skilled Principal Solutions Architect with deep expertise in AWS, cloud-native applications, and software engineering. This role is pivotal to our success and expansion within customer accounts, focusing on delivering high-quality, data-driven solutions that enable clients to become "AI Ready."

The ideal candidate will have experience as a Chief Architect or in similar roles within end-user organizations, demonstrating a successful history of designing and delivering cloud-native solutions. We value individuals who possess a blend of end-user insights and consulting expertise.



Key Responsibilities:

• Cloud-Native Application Expertise: Utilize your in-depth knowledge of AWS to design, implement, and enhance cloud-native applications that align with customer needs.
• Technical Leadership: Provide consulting, delivery oversight, and support in revenue generation activities to drive customer satisfaction and project success.
• Stakeholder Engagement: Collaborate closely with key stakeholders, delivering tailored solutions while fostering strong relationships built on trust and transparency.
• Delivery Oversight: Lead a team of engineers and architects or work independently, coordinating with delivery teams to ensure project milestones are achieved effectively.
• Strategic Consulting: Guide clients through the intricacies of data modeling, AI integration, and other advanced analytics frameworks, enhancing their capabilities to prepare for future AI implementations.

Qualifications:

• Experience:
• Extensive expertise in software development and architecture, particularly within cloud-native environments (AWS).
• Strong background in data solutions, data modeling, and AI applications, with hands-on experience in Snowflake being a significant advantage.
• Experienced in consulting and delivery oversight, with a focus on revenue generation and high-impact project delivery.

• Adaptable Leadership: Ability to manage projects effectively, with a focus on mentoring and guiding team members

• Technical Skills:

• Proficiency in AWS services such as EC2, Lambda, S3, RDS, and Redshift.
• Experience with containerization and orchestration platforms, such as Docker and Kubernetes.
• Familiarity with CI/CD pipelines and DevOps practices, using tools like Jenkins, GitLab CI, or AWS CodePipeline.
• Strong knowledge of databases, including SQL and NoSQL technologies (e.g., DynamoDB, MongoDB).
• Experience with data ingestion and processing frameworks (e.g., Apache Kafka, Apache Spark, or AWS Glue).
• Understanding of microservices architecture and RESTful API design principles.
• Familiarity with monitoring and logging tools (e.g., CloudWatch, ELK Stack) for operational excellence.

Create, implement, and launch cutting-edge machine learning and AI-driven algorithms/predictive models to enhance Underwriting, Customer Management, Marketing, and Operational processes

Evaluate, preprocess, combine, and analyze extensive datasets using standardized data manipulation methods and techniques, utilizing tools like R, Python, and/or Apache Spark

Offer expertise and guidance on third-party data providers including knowledge of available products and data, recommendations on what to purchase or discontinue, cost-benefit analysis, data dictionaries, effective use of variables, and understanding their limitations and advantages

Create, build, and implement both linear and nonlinear algorithms for testing, development, and integration into our underwriting engine, focusing on risk management across all channels

Effectively utilize data mining techniques to optimize response and approval rates and develop strategies to boost the profitability of products

Ensure clear and detailed model documentation on Wiki Server using reproducible research tools like IPython, Rmarkdown, Jupyter Notebook, and others

Deploy scoring models on different platforms, including R, on-premise, and cloud systems, in formats like Java objects, R models, and Apache Spark models.

Serve as the primary point of contact and functional lead for business partners, ensuring support for all needs and objectives

Guide and oversee analytical projects while mentoring Junior Data Scientists



Experience and Education:

A Master's degree in a highly quantitative discipline (e.g. Economics, Statistics, Mathematics, Engineering, or similar fields)

Hands-on experience in Data Science or Modeling.

Competence in Linux and proficiency in R, Python, or Java; experience with version control tools (e.g., Git), as well as big data technologies and frameworks (e.g., Spark, Hadoop).

Proven expertise in advanced statistical modeling and substantial exposure to machine learning techniques such as Random Forest, LASSO, Gradient Boosting, Elastic Net, etc.

Proven ability to thrive in fast-paced environments with shifting priorities, while effectively communicating and collaborating with Risk Management teams and executives.

Strong data manipulation and engineering abilities, with experience in performing complex data transformations

Hands-on experience with a range of database technologies, including but not limited to MSSQL Server, SAS Datasets, Hadoop, Kafka, Spark, Redshift, HBASE, Spark Streaming, Oracle, Neo4j, Teradata, MySQL, Amazon AWS, DB2, Cassandra, PostgreSQL, Apache Hive/Impala, and NoSQL data formats (including XML & JSON ).



Required Skills, Abilities, Soft Skill Factors:

Technological Expertise - Comprehensive knowledge of Python, Scala, R, Java, SAS, SQL, MATLAB, and/or SPSS, along with risk management technologies, enabling the use of these tools to enhance organizational decision-making.

Motivational Abilities - Proven track record of meeting challenging organizational goals, instilling a sense of urgency, and overcoming obstacles to deliver results.

Analytical and Administrative Abilities - Strong problem-solving and analytical thinking skills, with the capacity to assess trends and recommend solutions to complex issues.

Communication Proficiency - Excellent verbal and written communication skills, with the ability to promote open dialogue, listen attentively, and cultivate strong professional relationships.

Innovative Thinking - Continuously challenges conventional approaches to foster new ideas and embraces a flexible mindset.

Adaptability - Demonstrates resilience and effectiveness when dealing with stress, uncertainty, difficult situations, and changing priorities.

Results-Oriented - Self-motivated and proactive in taking ownership of tasks and driving projects to completion.

This role focuses on building scalable data pipelines, integrating diverse data sources, and enabling predictive analytics across cloud environments.



Key Technical Requirements:

• Strong hands-on experience developing data pipelines using Python
• Strong SQL skills, including performance tuning, stored procedures, and data modeling (Star/Snowflake schemas)
• Proven experience with Azure Data Factory (ADF) and Azure Synapse
• Experience with ETL orchestration tools such as Apache Airflow
• Skilled in working with structured and unstructured data, including ingestion from APIs (REST/JSON/XML)
• Familiarity with cloud-based warehousing tools such as Snowflake, Redshift, or BigQuery
• Comfortable working in Azure and/or hybrid cloud environments (Azure/AWS)
• Experience supporting machine learning or predictive modeling pipelines
• Familiar with containerization and version control: Docker, Git, and Azure DevOps
• Understanding of data serialization formats (Parquet, Avro, JSON)
• Knowledge of data validation, quality checks, and observability tools (Azure Monitor, logging frameworks, etc.)

Candidates will be expected, during the interview process, to demonstrate deep hands-on technical experience in data pipeline development, cloud orchestration, and ML-ready data infrastructure.



This position will require the successful applicant to work 5 days per week on site.

Tenth Revolution Group are working with a leading manufacturing organization who are seeking a technically strong professional to lead and manage the implementation, rollout, and subsequent utilization of Databricks across the organization. The successful candidate for this position will be responsible for designing and deploying scalable data pipelines and advanced analytics solutions using the Databricks platform.



Technical Responsibilities:

• Architect and implement data solutions using Databricks, including Delta Lake and Unity Catalog
• Build and optimize ETL/ELT pipelines using PySpark and SQL
• Configure and manage Databricks Workspaces, clusters, and job workflows
• Integrate Databricks with cloud platforms (AWS, Azure, or GCP) and data sources
• Implement CI/CD processes for Databricks using tools like Azure DevOps or GitHub Actions
• Set up data governance, access control, and monitoring within Databricks
• Collaborate with data engineers, platform teams, and stakeholders on technical delivery

Required Technical Expertise:

• Databricks (core platform, Delta Lake, Unity Catalog)
• PySpark and Spark SQL
• Cloud data services (AWS/GCP/Azure)
• CI/CD automation for data pipelines
• Git-based version control and release processes
• Data lake architecture and performance tuning

Candidates for this role must be able to demonstrate a deep technical fluency in Databricks and a strong track record of delivering complex data infrastructure projects

Tenth Revolution Group are working with a leading real estate firm with over 60 years of history in the space.



The organization are looking to add to a data-driven solutions team. Candidates for this role must come with a masters level degree from a field such as Data Science or similarly analytical specialism. An ability to demonstrate a deep understanding and successful track record in the Machine Learning world is essential to be successful in your application for this position. Particularly as it relates to the design, build and deployment of ML models.



Deep Learning and NLP (Natural Language Processing) are essential requirements for this position, alongside prior experience working hands-on with LLMs (Large Language Models), building advanced systems and RAG pipelines. An ability, and flexibility, of designing/implementing tailored Neural Network architectures that relate to specific situational cases. This all ties in with the organizations overall goal of solving problems and an advancement in it's Automated Intelligence capabilities.



Experience with Amazon Web Services and tools listed below are required:

• SageMaker
• Python
• SQL
• Snowflake
• Big Data Technologies

This is a role that is best suited to someone who shares the organizations passion for leading the way, and embracing, emerging technology trends such as Machine Learning, GenAI, Natural Language Processing and more in the Cloud space.



This is a permanent position, based in the organizations Dallas offices, with a hybrid work policy that requires 3 days per week on site.

Job Title: Senior System and Security Administrator

Location: Boston, MA
Reports To: VP, IT

The Senior System and Security Administrator will lead IT infrastructure strategy, focusing on designing, implementing, and managing robust, scalable, and secure systems. This senior-level role involves shaping the architecture across cloud, identity, security, and enterprise applications, ensuring all IT solutions align with organizational growth strategy and cybersecurity priorities. The organization follows a cloud- and SaaS-first model, requiring familiarity with a variety of SaaS products.

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Responsibilities:

• 
  
  Collaborate with stakeholders to gather and analyze system requirements, translating business needs into technical solutions
• 
  
  Lead architectural design and integration of enterprise systems, with a focus on identity management (SSO/SCIM) and cloud platforms (AWS, Azure)
• 
  
  Ensure integration of DNS, email security (SPF, DKIM, DMARC), and device management tools such as Kandji MDM, Intune MDM, and NinjaOne MD
• 
  
  Provide technical guidance and mentorship to development teams, architects, and engineers
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  Establish and enforce architectural standards, best practices, and guidelines
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  Develop and enforce IT security frameworks (e.g., NIST CSF, SOC 2)
• 
  
  Oversee and improve deployment of security tools including SentinelOne, Zscaler, Mimecast, and Datadome
• 
  
  Act as a key stakeholder in DNS management, brand protection, and email deliverability
• 
  
  Lead the change control board for SaaS products and serve as a stakeholder for approvals

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Qualifications:

• 
  
  Bachelor's degree in Computer Science, Information Technology, or related field, or equivalent experience
• 
  
  7+ years of progressive experience in IT systems and security administration, with at least 2 years in a senior or lead capacity
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  Proficient in cloud platforms (AWS and Azure)
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  Strong experience with enterprise applications such as Microsoft 365, Google Workspace, Slack, and Zendesk
• 
  
  Hands-on experience with identity management, including SSO and SCIM
• 
  
  Expertise in DNS, SPF, DKIM, DMARC, and email security best practices
• 
  
  Familiarity with MDM solutions such as Kandji, Intune, and NinjaOne
• 
  
  Experience managing Zscaler, Cisco Meraki, and Zero Trust principles
• 
  
  Solid understanding of IT security standards (NIST CSF, SOC 2)
• 
  
  Comfortable supporting Kubernetes clusters and Microsoft 365 tenant administration
• 
  
  Strong interpersonal and communication skills, with experience mentoring cross-functional teams

Location: Dallas, TX (3 Days On-Site, 2 Days Remote)

Contract Duration: 6 Months (with potential for extension)

About the Role: Our Client is seeking a skilled Senior Data Engineer to join their team for a 6-month contract role based in Dallas, TX. The successful candidate will play a key role in building, maintaining, and optimizing data pipelines and infrastructure, working closely with stakeholders to deliver superb data solutions. This position requires 3 days per week on-site at the client location.



Key Responsibilities:

• 
  
  Design, develop, and maintain scalable data pipelines using Databricks and Azure technologies.
• 
  
  Implement data integration solutions that support analytics and reporting needs.
• 
  
  Collaborate with data scientists, analysts, and business teams to understand requirements and deliver effective data solutions.
• 
  
  Optimize data storage, processing, and performance for large-scale datasets.
• 
  
  Ensure data security, integrity, and compliance with relevant regulations.

Key Skills & Experience Required:

• 
  
  Proven experience as a Senior Data Engineer or in a similar role.
• 
  
  Strong expertise in Databricks and Azure Data Services (e.g., Azure Data Factory, Azure Synapse, Azure Data Lake).
• 
  
  Proficiency in Python, SQL, and other data engineering languages.
• 
  
  Experience building and maintaining ETL/ELT pipelines.
• 
  
  Familiarity with data modeling, data warehousing, and data governance best practices.
• 
  
  Excellent problem-solving skills and ability to work independently.

Preferred Skills:

• 
  
  Experience working in client-facing environments.
• 
  
  Strong communication and stakeholder management skills.

Contract Details:

• 
  
  Duration: 6 months with potential for extension.
• 
  
  Location: On-site in Dallas, TX (3 days per week) with remote flexibility for 2 days